[ Started: 2022-05-04 15:02:52 ] tibble (3.1.6 -> 3.1.7 ) [CRAN] cli (3.2.0 -> 3.3.0 ) [CRAN] ps (1.6.0 -> 1.7.0 ) [CRAN] misc3d (NA -> 0.9-1 ) [CRAN] checkmate (2.0.0 -> 2.1.0 ) [CRAN] BBmisc (NA -> 1.12 ) [CRAN] dplyr (1.0.8 -> 1.0.9 ) [CRAN] httr (1.4.2 -> 1.4.3 ) [CRAN] RJSONIO (NA -> 1.3-1.6) [CRAN] mco (NA -> 1.15.6 ) [CRAN] plot3D (NA -> 1.4 ) [CRAN] ggplot2 (3.3.5 -> 3.3.6 ) [CRAN] ParamHelpers (NA -> 1.14 ) [CRAN] parallelMap (NA -> 1.5.1 ) [CRAN] tweenr (NA -> 1.0.2 ) [CRAN] BiocGenerics (0.41.2 -> 0.42.0 ) [CRAN] graph (1.73.0 -> 1.74.0 ) [CRAN] ape (NA -> 5.6-2 ) [CRAN] hexbin (NA -> 1.28.2 ) [CRAN] knitr (1.38 -> 1.39 ) [CRAN] rmarkdown (2.13 -> 2.14 ) [CRAN] lhs (NA -> 1.1.5 ) [CRAN] smoof (NA -> 1.6.0.2) [CRAN] mlr (NA -> 2.19.0 ) [CRAN] graphlayouts (NA -> 0.8.0 ) [CRAN] tidygraph (NA -> 1.2.1 ) [CRAN] ggforce (NA -> 0.3.3 ) [CRAN] Rgraphviz (NA -> 2.40.0 ) [CRAN] supraHex (NA -> 1.34.0 ) [CRAN] BiocManager (1.30.16 -> 1.30.17) [CRAN] testthat (3.1.3 -> 3.1.4 ) [CRAN] mlrMBO (NA -> 1.1.5 ) [CRAN] gprofiler2 (NA -> 0.2.1 ) [CRAN] ggraph (NA -> 2.0.5 ) [CRAN] dnet (NA -> 1.1.7 ) [CRAN] BiocStyle (2.23.1 -> 2.24.0 ) [CRAN] Installing 36 packages: tibble, cli, ps, misc3d, checkmate, BBmisc, dplyr, httr, RJSONIO, mco, plot3D, ggplot2, ParamHelpers, parallelMap, tweenr, BiocGenerics, graph, ape, hexbin, knitr, rmarkdown, lhs, smoof, mlr, graphlayouts, tidygraph, ggforce, Rgraphviz, supraHex, BiocManager, testthat, mlrMBO, gprofiler2, ggraph, dnet, BiocStyle trying URL 'https://cloud.r-project.org/src/contrib/tibble_3.1.7.tar.gz' Content type 'application/x-gzip' length 674873 bytes (659 KB) ================================================== downloaded 659 KB trying URL 'https://cloud.r-project.org/src/contrib/cli_3.3.0.tar.gz' Content type 'application/x-gzip' length 495823 bytes (484 KB) ================================================== downloaded 484 KB trying URL 'https://cloud.r-project.org/src/contrib/ps_1.7.0.tar.gz' Content type 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'https://cloud.r-project.org/src/contrib/httr_1.4.3.tar.gz' Content type 'application/x-gzip' length 161122 bytes (157 KB) ================================================== downloaded 157 KB trying URL 'https://cloud.r-project.org/src/contrib/RJSONIO_1.3-1.6.tar.gz' Content type 'application/x-gzip' length 1169961 bytes (1.1 MB) ================================================== downloaded 1.1 MB trying URL 'https://cloud.r-project.org/src/contrib/mco_1.15.6.tar.gz' Content type 'application/x-gzip' length 156230 bytes (152 KB) ================================================== downloaded 152 KB trying URL 'https://cloud.r-project.org/src/contrib/plot3D_1.4.tar.gz' Content type 'application/x-gzip' length 2616461 bytes (2.5 MB) ================================================== downloaded 2.5 MB trying URL 'https://cloud.r-project.org/src/contrib/ggplot2_3.3.6.tar.gz' Content type 'application/x-gzip' length 3061989 bytes (2.9 MB) ================================================== downloaded 2.9 MB trying URL 'https://cloud.r-project.org/src/contrib/ParamHelpers_1.14.tar.gz' Content type 'application/x-gzip' length 123633 bytes (120 KB) ================================================== downloaded 120 KB trying URL 'https://cloud.r-project.org/src/contrib/parallelMap_1.5.1.tar.gz' Content type 'application/x-gzip' length 29651 bytes (28 KB) ================================================== downloaded 28 KB trying URL 'https://cloud.r-project.org/src/contrib/tweenr_1.0.2.tar.gz' Content type 'application/x-gzip' length 568677 bytes (555 KB) ================================================== downloaded 555 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/BiocGenerics_0.42.0.tar.gz' Content type 'application/x-gzip' length 45966 bytes (44 KB) ================================================== downloaded 44 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/graph_1.74.0.tar.gz' Content type 'application/x-gzip' length 713157 bytes (696 KB) ================================================== downloaded 696 KB trying URL 'https://cloud.r-project.org/src/contrib/ape_5.6-2.tar.gz' Content type 'application/x-gzip' length 1754486 bytes (1.7 MB) ================================================== downloaded 1.7 MB trying URL 'https://cloud.r-project.org/src/contrib/hexbin_1.28.2.tar.gz' Content type 'application/x-gzip' length 1066670 bytes (1.0 MB) ================================================== downloaded 1.0 MB trying URL 'https://cloud.r-project.org/src/contrib/knitr_1.39.tar.gz' Content type 'application/x-gzip' length 898418 bytes (877 KB) ================================================== downloaded 877 KB trying URL 'https://cloud.r-project.org/src/contrib/rmarkdown_2.14.tar.gz' Content type 'application/x-gzip' length 3241807 bytes (3.1 MB) ================================================== downloaded 3.1 MB trying URL 'https://cloud.r-project.org/src/contrib/lhs_1.1.5.tar.gz' Content type 'application/x-gzip' length 254693 bytes (248 KB) ================================================== downloaded 248 KB trying URL 'https://cloud.r-project.org/src/contrib/smoof_1.6.0.2.tar.gz' Content type 'application/x-gzip' length 209203 bytes (204 KB) ================================================== downloaded 204 KB trying URL 'https://cloud.r-project.org/src/contrib/mlr_2.19.0.tar.gz' Content type 'application/x-gzip' length 2293588 bytes (2.2 MB) ================================================== downloaded 2.2 MB trying URL 'https://cloud.r-project.org/src/contrib/graphlayouts_0.8.0.tar.gz' Content type 'application/x-gzip' length 2409305 bytes (2.3 MB) ================================================== downloaded 2.3 MB trying URL 'https://cloud.r-project.org/src/contrib/tidygraph_1.2.1.tar.gz' Content type 'application/x-gzip' length 118163 bytes (115 KB) ================================================== downloaded 115 KB trying URL 'https://cloud.r-project.org/src/contrib/ggforce_0.3.3.tar.gz' Content type 'application/x-gzip' length 858093 bytes (837 KB) ================================================== downloaded 837 KB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/Rgraphviz_2.40.0.tar.gz' Content type 'application/x-gzip' length 7373941 bytes (7.0 MB) ================================================== downloaded 7.0 MB trying URL 'https://bioconductor.org/packages/3.15/bioc/src/contrib/supraHex_1.34.0.tar.gz' Content type 'application/x-gzip' length 5066801 bytes (4.8 MB) ================================================== downloaded 4.8 MB trying URL 'https://cloud.r-project.org/src/contrib/BiocManager_1.30.17.tar.gz' Content type 'application/x-gzip' length 287948 bytes (281 KB) ================================================== downloaded 281 KB trying URL 'https://cloud.r-project.org/src/contrib/testthat_3.1.4.tar.gz' Content type 'application/x-gzip' length 700919 bytes (684 KB) 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'application/x-gzip' length 756701 bytes (738 KB) ================================================== downloaded 738 KB * installing *source* package ‘tibble’ ... ** package ‘tibble’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c attributes.c -o attributes.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c coerce.c -o coerce.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c matrixToDataFrame.c -o matrixToDataFrame.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tibble.so attributes.o coerce.o init.o matrixToDataFrame.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-tibble/00new/tibble/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tibble) * installing *source* package ‘cli’ ... ** package ‘cli’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ansi.c -o ansi.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c cleancall.c -o cleancall.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c diff.c -o diff.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c errors.c -o errors.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c md5.c -o md5.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c progress-altrep.c -o progress-altrep.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c progress.c -o progress.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c sha256.c -o sha256.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c thread.c -o thread.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c tty.c -o tty.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c utf8.c -o utf8.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c win-utf8.c -o win-utf8.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c winfiles.c -o winfiles.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o cli.so ansi.o cleancall.o diff.o errors.o init.o md5.o progress-altrep.o progress.o sha256.o thread.o tty.o utf8.o win-utf8.o winfiles.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-cli/00new/cli/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (cli) * installing *source* package ‘ps’ ... ** package ‘ps’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -std=gnu99 -Wall -pedantic -L/usr/local/lib -Wall px.c -o px gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c api-common.c -o api-common.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c common.c -o common.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c extra.c -o extra.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c dummy.c -o dummy.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c error-codes.c -o error-codes.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c posix.c -o posix.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c api-posix.c -o api-posix.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c linux.c -o linux.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c api-linux.c -o api-linux.o api-linux.c: In function ‘psll_get_cpu_aff’: api-linux.c:1139:9: warning: ‘pid’ may be used uninitialized in this function [-Wmaybe-uninitialized] 1139 | if (sched_getaffinity(pid, setsize, mask) == 0) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ps.so init.o api-common.o common.o extra.o dummy.o error-codes.o posix.o api-posix.o linux.o api-linux.o -L/opt/R-rc/lib/R/lib -lR installing via 'install.libs.R' to /home/omnipath/local/R/00LOCK-ps/00new/ps ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ps) * installing *source* package ‘misc3d’ ... ** package ‘misc3d’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading Warning: no DISPLAY variable so Tk is not available ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location Warning: no DISPLAY variable so Tk is not available ** testing if installed package can be loaded from final location Warning: no DISPLAY variable so Tk is not available ** testing if installed package keeps a record of temporary installation path * DONE (misc3d) * installing *source* package ‘checkmate’ ... ** package ‘checkmate’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c all_missing.c -o all_missing.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c any_infinite.c -o any_infinite.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c any_missing.c -o any_missing.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c any_nan.c -o any_nan.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c checks.c -o checks.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c find_nchar.c -o find_nchar.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c guess_type.c -o guess_type.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c helper.c -o helper.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c integerish.c -o integerish.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c is_sorted.c -o is_sorted.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c qassert.c -o qassert.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c which_first.c -o which_first.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o checkmate.so all_missing.o any_infinite.o any_missing.o any_nan.o checks.o find_nchar.o guess_type.o helper.o init.o integerish.o is_sorted.o qassert.o which_first.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-checkmate/00new/checkmate/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (checkmate) * installing *source* package ‘httr’ ... ** package ‘httr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (httr) * installing *source* package ‘RJSONIO’ ... ** package ‘RJSONIO’ successfully unpacked and MD5 sums checked ** using staged installation Trying to find libjson.h header file checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether the compiler supports GNU C... yes checking whether gcc accepts -g... yes checking for gcc option to enable C11 features... unsupported checking for gcc option to enable C99 features... none needed USE_LOCAL = "" Minor Version: 6 Using local libjson code. Copying files from src/libjson/Source /tmp/RtmpBj6Wct/R.INSTALL100f1436d9d1eb/RJSONIO JSONAllocator.cpp JSONChildren.cpp JSONDebug.cpp JSONIterators.cpp JSONMemory.cpp JSONNode.cpp JSONNode_Mutex.cpp JSONPreparse.cpp JSONStream.cpp JSONValidator.cpp JSONWorker.cpp JSONWriter.cpp internalJSONNode.cpp libjson.cpp configure: creating ./config.status config.status: creating src/Makevars config.status: creating tools/cleanup ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ConvertUTF.c -o ConvertUTF.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONAllocator.cpp -o JSONAllocator.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONChildren.cpp -o JSONChildren.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONDebug.cpp -o JSONDebug.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONIterators.cpp -o JSONIterators.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONMemory.cpp -o JSONMemory.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONNode.cpp -o JSONNode.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONNode_Mutex.cpp -o JSONNode_Mutex.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONPreparse.cpp -o JSONPreparse.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONStream.cpp -o JSONStream.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONValidator.cpp -o JSONValidator.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONWorker.cpp -o JSONWorker.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c JSONWriter.cpp -o JSONWriter.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c JSON_parser.c -o JSON_parser.o JSON_parser.c: In function ‘parse_parse_buffer’: JSON_parser.c:485:25: warning: unused variable ‘ok’ [-Wunused-variable] 485 | int ok = sscanf(jc->parse_buffer, "%lf", &tmp); | ^~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c RJSON.c -o RJSON.o RJSON.c: In function ‘R_readFromJSON’: RJSON.c:78:18: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 78 | conf.callback = (JSON_parser_callback) R_ExternalPtrAddr(VECTOR_ELT(data, 0)); | ^ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c internalJSONNode.cpp -o internalJSONNode.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -Wall -pedantic -c libjson.cpp -o libjson.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rlibjson.c -o rlibjson.o rlibjson.c: In function ‘processJSONNode’: rlibjson.c:164:12: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 164 | fun = (SEXPStringRoutine) R_ExternalPtrAddr(r_stringCall); | ^ rlibjson.c:169:12: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 169 | fun = (StringRoutine) R_ExternalPtrAddr(r_stringCall); | ^ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I. -Ilibjson -Ilibjson/Source -DNEW_JSON_NEW_STREAM -DNDEBUG=1 -DJSON_VALIDATE -DJSON_STREAM=1 -DJSON_READ_PRIORITY=1 -DJSON_LIBRARY=1 -DJSON_ISO_STRICT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rparser.c -o rparser.o rparser.c: In function ‘R_json_parser_init_from_con’: rparser.c:152:18: warning: ISO C forbids assignment between function pointer and ‘void *’ [-Wpedantic] 152 | callback = R_ExternalPtrAddr(cbCall); | ^ g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o RJSONIO.so ConvertUTF.o JSONAllocator.o JSONChildren.o JSONDebug.o JSONIterators.o JSONMemory.o JSONNode.o JSONNode_Mutex.o JSONPreparse.o JSONStream.o JSONValidator.o JSONWorker.o JSONWriter.o JSON_parser.o RJSON.o init.o internalJSONNode.o libjson.o rlibjson.o rparser.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-RJSONIO/00new/RJSONIO/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RJSONIO) * installing *source* package ‘mco’ ... ** package ‘mco’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c avl.c -o avl.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c eps_ind.c -o eps_ind.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c hv.c -o hv.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c hv_interface.c -o hv_interface.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mco.c -o mco.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DVARIANT=4 -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c nsga2.c -o nsga2.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o mco.so avl.o eps_ind.o hv.o hv_interface.o mco.o nsga2.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-mco/00new/mco/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mco) * installing *source* package ‘tweenr’ ... ** package ‘tweenr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c easing.c -o easing.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c interpolators.cpp -o interpolators.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tweenr.so RcppExports.o easing.o interpolators.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-tweenr/00new/tweenr/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tweenr) * installing *source* package ‘BiocGenerics’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘append’ in package ‘BiocGenerics’ Creating a new generic function for ‘as.data.frame’ in package ‘BiocGenerics’ Creating a new generic function for ‘cbind’ in package ‘BiocGenerics’ Creating a new generic function for ‘rbind’ in package ‘BiocGenerics’ Creating a new generic function for ‘do.call’ in package ‘BiocGenerics’ Creating a new generic function for ‘duplicated’ in package ‘BiocGenerics’ Creating a new generic function for ‘anyDuplicated’ in package ‘BiocGenerics’ Creating a new generic function for ‘eval’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmax’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmin’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmax.int’ in package ‘BiocGenerics’ Creating a new generic function for ‘pmin.int’ in package ‘BiocGenerics’ Creating a new generic function for ‘Reduce’ in package ‘BiocGenerics’ Creating a new generic function for ‘Filter’ in package ‘BiocGenerics’ Creating a new generic function for ‘Find’ in package ‘BiocGenerics’ Creating a new generic function for ‘Map’ in package ‘BiocGenerics’ Creating a new generic function for ‘Position’ in package ‘BiocGenerics’ Creating a new generic function for ‘get’ in package ‘BiocGenerics’ Creating a new generic function for ‘mget’ in package ‘BiocGenerics’ Creating a new generic function for ‘grep’ in package ‘BiocGenerics’ Creating a new generic function for ‘grepl’ in package ‘BiocGenerics’ Creating a new generic function for ‘is.unsorted’ in package ‘BiocGenerics’ Creating a new generic function for ‘lapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘sapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘mapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘match’ in package ‘BiocGenerics’ Creating a new generic function for ‘order’ in package ‘BiocGenerics’ Creating a new generic function for ‘paste’ in package ‘BiocGenerics’ Creating a new generic function for ‘rank’ in package ‘BiocGenerics’ Creating a new generic function for ‘rownames’ in package ‘BiocGenerics’ Creating a new generic function for ‘colnames’ in package ‘BiocGenerics’ Creating a new generic function for ‘union’ in package ‘BiocGenerics’ Creating a new generic function for ‘intersect’ in package ‘BiocGenerics’ Creating a new generic function for ‘setdiff’ in package ‘BiocGenerics’ Creating a new generic function for ‘sort’ in package ‘BiocGenerics’ Creating a new generic function for ‘table’ in package ‘BiocGenerics’ Creating a new generic function for ‘tapply’ in package ‘BiocGenerics’ Creating a new generic function for ‘unique’ in package ‘BiocGenerics’ Creating a new generic function for ‘unsplit’ in package ‘BiocGenerics’ Creating a new generic function for ‘var’ in package ‘BiocGenerics’ Creating a new generic function for ‘sd’ in package ‘BiocGenerics’ Creating a new generic function for ‘which.min’ in package ‘BiocGenerics’ Creating a new generic function for ‘which.max’ in package ‘BiocGenerics’ Creating a new generic function for ‘IQR’ in package ‘BiocGenerics’ Creating a new generic function for ‘mad’ in package ‘BiocGenerics’ Creating a new generic function for ‘xtabs’ in package ‘BiocGenerics’ Creating a new generic function for ‘basename’ in package ‘BiocGenerics’ Creating a new generic function for ‘dirname’ in package ‘BiocGenerics’ ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocGenerics) * installing *source* package ‘ape’ ... ** package ‘ape’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c BIONJ.c -o BIONJ.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c NNI.c -o NNI.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c SPR.c -o SPR.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c additive.c -o additive.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ape.c -o ape.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c bNNI.c -o bNNI.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c bionjs.c -o bionjs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c bipartition.c -o bipartition.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c bitsplits.c -o bitsplits.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c delta_plot.c -o delta_plot.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c dist_dna.c -o dist_dna.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c dist_nodes.c -o dist_nodes.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ewLasso.c -o ewLasso.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c heap.c -o heap.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mat_expo.c -o mat_expo.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c me.c -o me.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c me_balanced.c -o me_balanced.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c me_ols.c -o me_ols.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mvr.c -o mvr.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mvrs.c -o mvrs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c nj.c -o nj.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c njs.c -o njs.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c pic.c -o pic.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c plot_phylo.c -o plot_phylo.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c prop_part.cpp -o prop_part.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c rTrait.c -o rTrait.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c read_dna.c -o read_dna.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c reorder_Rcpp.cpp -o reorder_Rcpp.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c reorder_phylo.c -o reorder_phylo.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c treePop.c -o treePop.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c tree_build.c -o tree_build.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c tree_phylo.c -o tree_phylo.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c triangMtd.c -o triangMtd.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c triangMtds.c -o triangMtds.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c ultrametric.c -o ultrametric.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ape.so BIONJ.o NNI.o RcppExports.o SPR.o additive.o ape.o bNNI.o bionjs.o bipartition.o bitsplits.o delta_plot.o dist_dna.o dist_nodes.o ewLasso.o heap.o mat_expo.o me.o me_balanced.o me_ols.o mvr.o mvrs.o nj.o njs.o pic.o plot_phylo.o prop_part.o rTrait.o read_dna.o reorder_Rcpp.o reorder_phylo.o treePop.o tree_build.o tree_phylo.o triangMtd.o triangMtds.o ultrametric.o -L/opt/R-rc/lib/R/lib -lRlapack -L/opt/R-rc/lib/R/lib -lRblas -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-ape/00new/ape/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ape) * installing *source* package ‘hexbin’ ... ** package ‘hexbin’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gfortran -fno-optimize-sibling-calls -fpic -g -O2 -c hbin.f -o hbin.o gfortran -fno-optimize-sibling-calls -fpic -g -O2 -c hcell.f -o hcell.o gfortran -fno-optimize-sibling-calls -fpic -g -O2 -c herode.f -o herode.o gfortran -fno-optimize-sibling-calls -fpic -g -O2 -c hsm.f -o hsm.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c reg.c -o reg.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o hexbin.so hbin.o hcell.o herode.o hsm.o reg.o -lgfortran -lm -lquadmath -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-hexbin/00new/hexbin/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (hexbin) * installing *source* package ‘knitr’ ... ** package ‘knitr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (knitr) * installing *source* package ‘lhs’ ... ** package ‘lhs’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c COrthogonalArray.cpp -o COrthogonalArray.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c GaloisField.cpp -o GaloisField.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c ak3.cpp -o ak3.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c akconst.cpp -o akconst.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c akn.cpp -o akn.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c construct.cpp -o construct.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c geneticLHS.cpp -o geneticLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c improvedLHS.cpp -o improvedLHS.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c lhs_r.cpp -o lhs_r.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c lhs_r_utilities.cpp -o lhs_r_utilities.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c maximinLHS.cpp -o maximinLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c oa.cpp -o oa.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c oaLHS.cpp -o oaLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c oa_r.cpp -o oa_r.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c oa_r_utils.cpp -o oa_r_utils.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c oalhs_r.cpp -o oalhs_r.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c optSeededLHS.cpp -o optSeededLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c optimumLHS.cpp -o optimumLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c primes.cpp -o primes.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c randomLHS.cpp -o randomLHS.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c runif.cpp -o runif.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c rutils.cpp -o rutils.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -DRCOMPILE -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c utilityLHS.cpp -o utilityLHS.o g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o lhs.so COrthogonalArray.o GaloisField.o ak3.o akconst.o akn.o construct.o geneticLHS.o improvedLHS.o init.o lhs_r.o lhs_r_utilities.o maximinLHS.o oa.o oaLHS.o oa_r.o oa_r_utils.o oalhs_r.o optSeededLHS.o optimumLHS.o primes.o randomLHS.o runif.o rutils.o utilityLHS.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-lhs/00new/lhs/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (lhs) * installing *source* package ‘graphlayouts’ ... ** package ‘graphlayouts’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c constrained_stress.cpp -o constrained_stress.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c constrained_stress3D.cpp -o constrained_stress3D.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c reweight.cpp -o reweight.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c sparseStress.cpp -o sparseStress.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c stress.cpp -o stress.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c stress3D.cpp -o stress3D.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o graphlayouts.so RcppExports.o constrained_stress.o constrained_stress3D.o reweight.o sparseStress.o stress.o stress3D.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-graphlayouts/00new/graphlayouts/libs ** R ** data *** moving datasets to lazyload DB ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (graphlayouts) * installing *source* package ‘BiocManager’ ... ** package ‘BiocManager’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocManager) * installing *source* package ‘BBmisc’ ... ** package ‘BBmisc’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c getMaxColRowIndex.c -o getMaxColRowIndex.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c getMaxIndex.c -o getMaxIndex.o In file included from getMaxIndex.c:2: getMaxIndex.c: In function ‘c_getMaxIndex’: getMaxIndex.c:73:32: warning: unused variable ‘len_w’ [-Wunused-variable] 73 | UNPACK_REAL_VECTOR(s_w, w, len_w); | ^~~~~ macros.h:10:19: note: in definition of macro ‘UNPACK_REAL_VECTOR’ 10 | const R_len_t N = length(S); | ^ getMaxIndex.c:68:27: warning: unused variable ‘w’ [-Wunused-variable] 68 | UNPACK_REAL_VECTOR(s_w, w, len_w); | ^ macros.h:9:13: note: in definition of macro ‘UNPACK_REAL_VECTOR’ 9 | double *D = REAL(S); \ | ^ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c itostr.c -o itostr.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o BBmisc.so getMaxColRowIndex.o getMaxIndex.o init.o itostr.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-BBmisc/00new/BBmisc/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BBmisc) * installing *source* package ‘dplyr’ ... ** package ‘dplyr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c chop.cpp -o chop.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c filter.cpp -o filter.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c funs.cpp -o funs.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c group_by.cpp -o group_by.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c group_data.cpp -o group_data.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c imports.cpp -o imports.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c init.cpp -o init.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c mask.cpp -o mask.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c mutate.cpp -o mutate.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c slice.cpp -o slice.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -Wall -pedantic -c summarise.cpp -o summarise.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o dplyr.so chop.o filter.o funs.o group_by.o group_data.o imports.o init.o mask.o mutate.o slice.o summarise.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-dplyr/00new/dplyr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dplyr) * installing *source* package ‘plot3D’ ... ** package ‘plot3D’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading Warning: no DISPLAY variable so Tk is not available ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Warning: no DISPLAY variable so Tk is not available ** testing if installed package can be loaded from final location Warning: no DISPLAY variable so Tk is not available ** testing if installed package keeps a record of temporary installation path * DONE (plot3D) * installing *source* package ‘ggplot2’ ... ** package ‘ggplot2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggplot2) * installing *source* package ‘graph’ ... ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c graph.c -o graph.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o graph.so graph.o -L/opt/R-rc/lib/R/lib -lR mv graph.so BioC_graph.so installing to /home/omnipath/local/R/00LOCK-graph/00new/graph/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (graph) * installing *source* package ‘rmarkdown’ ... ** package ‘rmarkdown’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rmarkdown) * installing *source* package ‘testthat’ ... ** package ‘testthat’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c reassign.c -o reassign.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-catch.cpp -o test-catch.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-example.cpp -o test-example.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I../inst/include -DCOMPILING_TESTTHAT -I/usr/local/include -fpic -Wall -pedantic -c test-runner.cpp -o test-runner.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o testthat.so init.o reassign.o test-catch.o test-example.o test-runner.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-testthat/00new/testthat/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (testthat) * installing *source* package ‘ParamHelpers’ ... ** package ‘ParamHelpers’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c c_dfRowsToList.c -o c_dfRowsToList.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ParamHelpers.so c_dfRowsToList.o init.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-ParamHelpers/00new/ParamHelpers/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ParamHelpers) * installing *source* package ‘parallelMap’ ... ** package ‘parallelMap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (parallelMap) * installing *source* package ‘tidygraph’ ... ** package ‘tidygraph’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/cpp11/include' -I/usr/local/include -fpic -Wall -pedantic -c cpp11.cpp -o cpp11.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/cpp11/include' -I/usr/local/include -fpic -Wall -pedantic -c get_paths.cpp -o get_paths.o g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o tidygraph.so cpp11.o get_paths.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-tidygraph/00new/tidygraph/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (tidygraph) * installing *source* package ‘ggforce’ ... ** package ‘ggforce’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c bSpline.cpp -o bSpline.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c bezier.cpp -o bezier.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c deBoor.cpp -o deBoor.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c ellipseEnclose.cpp -o ellipseEnclose.o In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:397, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:377, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:242:7: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:250:7: required from ‘class Eigen::Quaternion’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/SparseCore:37, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Sparse:26, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:31, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ellipseEnclose.cpp:15:57: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ellipseEnclose.cpp:15:57: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ellipseEnclose.cpp:86:10: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ellipseEnclose.cpp:87:36: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ellipseEnclose.cpp:92:19: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ellipseEnclose.cpp:98:26: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ellipseEnclose.cpp:98:30: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ellipseEnclose.cpp:99:27: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Inverse >, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Inverse >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Inverse >, 0>’ ellipseEnclose.cpp:99:27: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Inverse >, 0>, Eigen::Matrix, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Inverse >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Inverse >, 0>, Eigen::Matrix, 0>’ ellipseEnclose.cpp:99:31: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ellipseEnclose.cpp:102:24: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ellipseEnclose.cpp:102:24: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ellipseEnclose.cpp:104:22: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ellipseEnclose.cpp:107:59: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ellipseEnclose.cpp:107:73: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0> >’ ellipseEnclose.cpp:107:97: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0>’ ellipseEnclose.cpp:107:97: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> >’ ellipseEnclose.cpp:107:97: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:438:19: required from ‘class Eigen::ColPivHouseholderQR >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:247:10: required from ‘struct Eigen::internal::qr_preconditioner_impl, 2, 0, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:607:110: required from ‘class Eigen::JacobiSVD, 2>’ ellipseEnclose.cpp:112:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ellipseEnclose.cpp:131:39: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] ellipseEnclose.cpp: In function ‘Rcpp::DataFrame enclose_ellip_points(Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::IntegerVector, double)’: ellipseEnclose.cpp:145:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 145 | for (i = 0; i < splits.size() - 1; ++i) { | ~~^~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ellipseEnclose.cpp:148:17: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0, Eigen::Stride<0, 0> >, -1>’ ellipseEnclose.cpp:148:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:319:13: required from ‘void Eigen::MatrixBase::adjointInPlace() [with Derived = Eigen::Matrix]’ ellipseEnclose.cpp:80:25: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:627:10: required from ‘Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Block, 1, -1, false>]’ ellipseEnclose.cpp:86:20: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:317:3: required from ‘void Eigen::DenseBase::fill(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ ellipseEnclose.cpp:95:21: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ ellipseEnclose.cpp:104:30: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:676:40: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:683:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:683:29: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:689:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:689:60: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, const Eigen::Matrix >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:64: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:757:62: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:769:80: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:943:46: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:392:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:406:7: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::NoChange_t) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ ellipseEnclose.cpp:85:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:331:58: required from ‘class Eigen::TriangularViewImpl, -1, -1, false> >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:186:58: required from ‘class Eigen::TriangularView, -1, -1, false> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:24: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:249:24: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:262:39: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, 2, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:279:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:3: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 1, 2, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 2, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 2, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, 2, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, 2, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:279:10: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:3: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, -1, false>; VectorY = Eigen::Block, 1, -1, false>; OtherScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:725:13: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, 1, true>; VectorY = Eigen::Block, -1, 1, true>; OtherScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:726:28: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:769:16: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:519:82: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:162:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:165:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:124:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:128:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:747:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:776:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:793:22: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:690:24: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 2, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 1, 2, false>; VectorY = Eigen::Block, 1, 2, false>; OtherScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:281:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Matrix; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:3: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation*, Eigen::JacobiRotation*) [with MatrixType = Eigen::Matrix; RealScalar = double; Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:722:42: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ ellipseEnclose.cpp:104:30: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:676:14: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:392:42: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setConstant(const Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView, 10>; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:395:44: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::setZero() [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 10; Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType = Eigen::TriangularView, 10>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:250:9: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>]’ ellipseEnclose.cpp:148:46: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Inverse >, 0>, Eigen::Matrix, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Inverse >, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Inverse >, 0>, Eigen::Matrix, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1575:36: required from ‘struct Eigen::internal::evaluator, Eigen::Inverse >, 0>, Eigen::Matrix, 1>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:519:50: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:565:40: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:3: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:181:25: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:509:88: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:689:18: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:127:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:98:30: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Inverse >, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1587:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:505:34: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:565:40: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:393:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 393 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:538:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:547:5: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:475:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:230:7: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, -1, 1, false> > >; Dest = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:35: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:370, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:35: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 187 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:187:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:205:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 205 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:371, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:128:55: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, -1, 1, false> > >; Dest = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:464:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:175:15: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:205:22: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::TriangularView, -1, -1, false>, 5>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 5>, Eigen::Matrix, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1537:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1537 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1595:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1595 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:35: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:255:13: required from ‘void Eigen::HouseholderSequence::evalTo(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:233:30: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:203:19: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::TriangularView, -1, -1, false> >, 6>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, Eigen::TriangularShape, Eigen::DenseShape, 8>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1847 | PacketBlock kernel; | ^~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1847:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:5: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:738:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Inverse >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Inverse >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Inverse >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Inverse >, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Inverse >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Inverse >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:36: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, false> >, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block, -1, -1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:33: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:44:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:56: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:499, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:751:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:60: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 1; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, Eigen::Matrix, 0> >; Func = Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:27: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:436:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, true, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, true, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:333:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:237:9: required from ‘bool Eigen::internal::qr_preconditioner_impl::run(Eigen::JacobiSVD&, const MatrixType&) [with MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:684:5: required from ‘Eigen::JacobiSVD& Eigen::JacobiSVD::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:548:7: required from ‘Eigen::JacobiSVD::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix; int QRPreconditioner = 2; Eigen::JacobiSVD::MatrixType = Eigen::Matrix]’ ellipseEnclose.cpp:112:65: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, false>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:369:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:288:58: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:293:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::true_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, false>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, true>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:258:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 6; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:523:49: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:577:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:496, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int Side = 1; int Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:509:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; _MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; unsigned int _Mode = 5]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:490:9: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:509:17: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1981:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1981 | PacketBlock kernel; | ^~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:436:29: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:991:19: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:40: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:578:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Inverse, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose, Eigen::Matrix, 0> >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ellipseEnclose.cpp:107:109: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 39 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:439, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1009:11: [ skipping 41 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Core:445, from /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/Dense:1, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigenForward.h:30, from /opt/R-rc/lib/R/library/RcppEigen/include/RcppEigen.h:25, from ellipseEnclose.cpp:2: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 42 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Diagonal, Eigen::Inverse >, 0>, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ellipseEnclose.cpp:99:43: required from here /opt/R-rc/lib/R/library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c enclose.cpp -o enclose.o enclose.cpp: In function ‘Rcpp::DataFrame enclose_points(Rcpp::NumericVector, Rcpp::NumericVector, Rcpp::IntegerVector)’: enclose.cpp:198:17: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 198 | for (i = 0; i < all_points.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~ g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppEigen/include' -I/usr/local/include -fpic -Wall -pedantic -c pointPath.cpp -o pointPath.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ggforce.so RcppExports.o bSpline.o bezier.o deBoor.o ellipseEnclose.o enclose.o pointPath.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-ggforce/00new/ggforce/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggforce) * installing *source* package ‘Rgraphviz’ ... ** using staged installation configure: Using bundled Graphviz. configure: Searching for the compilers specified by R. checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ISO C89... none needed checking how to run the C preprocessor... gcc -E checking whether we are using the GNU C++ compiler... yes checking whether g++ -std=gnu++14 accepts -g... yes configure: Preparing to compile Graphviz. configure: Configuring bundled Graphviz. checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for a thread-safe mkdir -p... /bin/mkdir -p checking for gawk... gawk checking whether make sets $(MAKE)... yes checking whether make supports nested variables... yes checking for style of include used by make... 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(cached) yes checking whether the g++ -std=gnu++14 linker (/usr/bin/ld -m elf_x86_64) supports shared libraries... yes checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking which extension is used for runtime loadable modules... .so checking which variable specifies run-time module search path... LD_LIBRARY_PATH checking for the default library search path... /lib64 /usr/lib64 /lib /usr/lib /opt/illumina/bsfs /usr/lib/x86_64-linux-gnu/libfakeroot /usr/local/lib /usr/local/lib/x86_64-linux-gnu /lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu /lib32 /usr/lib32 checking for library containing dlopen... -ldl checking for dlerror... yes checking for shl_load... (cached) no checking for shl_load in -ldld... (cached) no checking for dld_link in -ldld... no checking for _ prefix in compiled symbols... no checking whether deplibs are loaded by dlopen... yes checking for argz.h... yes checking for error_t... yes checking for argz_add... yes checking for argz_append... yes checking for argz_count... yes checking for argz_create_sep... yes checking for argz_insert... yes checking for argz_next... yes checking for argz_stringify... yes checking if argz actually works... yes checking whether libtool supports -dlopen/-dlpreopen... yes checking for ltdl.h... yes checking whether lt_dlinterface_register is declared... yes checking for lt_dladvise_preload in -lltdl... yes checking where to find libltdl headers... checking where to find libltdl library... -lltdl checking for unistd.h... (cached) yes checking for dl.h... no checking for sys/dl.h... no checking for dld.h... no checking for mach-o/dyld.h... no checking for dirent.h... yes checking for closedir... yes checking for opendir... yes checking for readdir... yes checking for strlcat... no checking for strlcpy... no checking for X... disabled configure: WARNING: X11 not available. using tcl headers from -I/usr/include/tcl8.6 -I/usr/include/tcl8.6/generic checking tcl.h usability... yes checking tcl.h presence... yes checking for tcl.h... yes using /usr/lib/tclConfig.sh checking for wish8.6... /usr/bin/wish8.6 checking tk.h usability... yes checking tk.h presence... yes checking for tk.h... yes checking for tk.h... (cached) yes checking tkInt.h usability... no checking tkInt.h presence... no checking for tkInt.h... no using /usr/lib/tkConfig.sh checking for connect... yes checking for gethostbyname... yes checking for main in -lXpm... no configure: WARNING: Optional Xpm library not available checking X11/Intrinsic.h usability... yes checking X11/Intrinsic.h presence... yes checking for X11/Intrinsic.h... yes checking for X11/Xaw/Text.h... no configure: WARNING: Optional Xaw library not available - missing headers checking zlib.h usability... yes checking zlib.h presence... yes checking for zlib.h... yes checking for main in -lz... yes checking for deflateBound... no checking for GDK_PIXBUF... yes checking for GTK... no checking for GTKGL... no checking for GTKGLEXT... no checking for GLADE... no checking for qmake-qt4... no checking for qmake-qt3... no checking for qmake... no checking for sincos... yes checking if FILE struct contains _cnt... no checking if FILE struct contains _r... no checking if FILE struct contains _next... no checking if FILE struct contains _IO_read_end... yes checking if errno externs are declared... yes checking if getopt externs are declared... yes checking if intptr_t is declared... yes checking if assert needs __eprintf... no checking that generated files are newer than configure... done configure: creating ./config.status config.status: creating Makefile config.status: creating lib/Makefile config.status: creating lib/cdt/Makefile config.status: creating lib/cdt/libcdt.pc config.status: creating lib/graph/Makefile config.status: creating lib/graph/libgraph.pc config.status: creating lib/rbtree/Makefile config.status: creating lib/pathplan/Makefile config.status: creating lib/pathplan/libpathplan.pc config.status: creating lib/dotgen/Makefile config.status: creating lib/neatogen/Makefile config.status: creating lib/fdpgen/Makefile config.status: creating lib/sparse/Makefile config.status: creating lib/sfdpgen/Makefile config.status: creating lib/osage/Makefile config.status: creating lib/circogen/Makefile config.status: creating lib/twopigen/Makefile config.status: creating lib/patchwork/Makefile config.status: creating lib/pack/Makefile config.status: creating lib/ortho/Makefile config.status: creating lib/common/Makefile config.status: creating lib/vpsc/Makefile config.status: creating lib/gvc/Makefile config.status: creating lib/gvc/libgvc.pc config.status: creating lib/xdot/Makefile config.status: creating lib/xdot/libxdot.pc config.status: creating plugin/Makefile config.status: creating plugin/core/Makefile config.status: creating plugin/dot_layout/Makefile config.status: creating plugin/neato_layout/Makefile config.status: creating graphviz.spec config.status: creating Doxyfile config.status: creating config.h config.status: executing depfiles commands config.status: executing libtool commands === configuring in libltdl (/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl) configure: running /bin/bash ./configure --disable-option-checking '--prefix=/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix' 'CC=gcc' 'CXX=g++ -std=gnu++14' 'CFLAGS=-std=gnu99 -Wall -pedantic' 'CXXFLAGS=-Wall -pedantic' 'LDFLAGS=-L/usr/local/lib' '--libdir=/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' '--includedir=/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include' '--with-cgraph=no' '--enable-swig=no' '--enable-static' '--disable-shared' '--with-pic' '--with-libgd=no' '--disable-ltdl' '--without-x' '--without-expat' '--without-devil' '--without-rsvg' '--without-ghostscript' '--without-visio' '--without-pangocairo' '--without-lasi' '--without-glitz' '--without-freetype2' '--without-fontconfig' '--without-rpat' '--without-glut' '--without-gts' '--without-png' '--without-tcl' '--without-jpeg' 'R_LIBS=/home/omnipath/local/R/00LOCK-Rgraphviz/00new:/home/omnipath/local/R' --cache-file=/dev/null --srcdir=. checking for a BSD-compatible install... /usr/bin/install -c checking whether build environment is sane... yes checking for a thread-safe mkdir -p... /bin/mkdir -p checking for gawk... gawk checking whether make sets $(MAKE)... yes checking build system type... x86_64-unknown-linux-gnu checking host system type... x86_64-unknown-linux-gnu checking for style of include used by make... GNU checking for gcc... gcc checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for gcc option to accept ISO C89... none needed checking dependency style of gcc... gcc3 checking for a sed that does not truncate output... /bin/sed checking for grep that handles long lines and -e... /bin/grep checking for egrep... /bin/grep -E checking for fgrep... /bin/grep -F checking for ld used by gcc... /usr/bin/ld checking if the linker (/usr/bin/ld) is GNU ld... yes checking for BSD- or MS-compatible name lister (nm)... /usr/bin/nm -B checking the name lister (/usr/bin/nm -B) interface... BSD nm checking whether ln -s works... yes checking the maximum length of command line arguments... 1572864 checking whether the shell understands some XSI constructs... yes checking whether the shell understands "+="... yes checking for /usr/bin/ld option to reload object files... -r checking for objdump... objdump checking how to recognize dependent libraries... pass_all checking for ar... ar checking for strip... strip checking for ranlib... ranlib checking command to parse /usr/bin/nm -B output from gcc object... ok checking how to run the C preprocessor... gcc -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking for dlfcn.h... yes checking for objdir... .libs checking if gcc supports -fno-rtti -fno-exceptions... no checking for gcc option to produce PIC... -fPIC -DPIC checking if gcc PIC flag -fPIC -DPIC works... yes checking if gcc static flag -static works... yes checking if gcc supports -c -o file.o... yes checking if gcc supports -c -o file.o... (cached) yes checking whether the gcc linker (/usr/bin/ld -m elf_x86_64) supports shared libraries... yes checking dynamic linker characteristics... GNU/Linux ld.so checking how to hardcode library paths into programs... immediate checking for shl_load... no checking for shl_load in -ldld... no checking for dlopen... no checking for dlopen in -ldl... yes checking whether a program can dlopen itself... yes checking whether a statically linked program can dlopen itself... no checking whether stripping libraries is possible... yes checking if libtool supports shared libraries... yes checking whether to build shared libraries... no checking whether to build static libraries... yes checking which extension is used for runtime loadable modules... .so checking which variable specifies run-time module search path... LD_LIBRARY_PATH checking for the default library search path... /lib64 /usr/lib64 /lib /usr/lib /opt/illumina/bsfs /usr/lib/x86_64-linux-gnu/libfakeroot /usr/local/lib /usr/local/lib/x86_64-linux-gnu /lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu /lib32 /usr/lib32 checking for library containing dlopen... -ldl checking for dlerror... yes checking for shl_load... (cached) no checking for shl_load in -ldld... (cached) no checking for dld_link in -ldld... no checking for _ prefix in compiled symbols... no checking whether deplibs are loaded by dlopen... yes checking for argz.h... yes checking for error_t... yes checking for argz_add... yes checking for argz_append... yes checking for argz_count... yes checking for argz_create_sep... yes checking for argz_insert... yes checking for argz_next... yes checking for argz_stringify... yes checking if argz actually works... yes checking whether libtool supports -dlopen/-dlpreopen... yes checking for unistd.h... (cached) yes checking for dl.h... no checking for sys/dl.h... no checking for dld.h... no checking for mach-o/dyld.h... no checking for dirent.h... yes checking for closedir... yes checking for opendir... yes checking for readdir... yes checking for strlcat... no checking for strlcpy... no checking that generated files are newer than configure... done configure: creating ./config.status config.status: creating Makefile config.status: creating config.h config.status: executing depfiles commands config.status: executing libtool commands ---------------------------------------------------------------- graphviz-2.28.0 will be compiled with the following: options: cgraph: No (disabled by default - experimental) digcola: Yes expat: No (disabled) fontconfig: No (disabled) freetype: No (disabled) glut: No (disabled) gts: No (disabled) ipsepcola: No (disabled by default - C++ portability issues) ltdl: No (disabled) ortho: Yes png: No (disabled) jpeg: No (disabled) sfdp: Yes shared: No (disabled) static: Yes qt: No (qmake not found) commands: dot: Yes (always enabled) neato: Yes (always enabled) fdp: Yes (always enabled) circo: Yes (always enabled) twopi: Yes (always enabled) gvpr: Yes (always enabled) gvmap: Yes (always enabled) lefty: No (missing Xaw headers) smyrna: No (disabled by default - experimental) gvedit: No (qmake not found) plugin libraries: dot_layout: Yes (always enabled) neato_layout: Yes (always enabled) core: Yes (always enabled) devil: No (disabled) gd: No (disabled) gdiplus: No (disabled by default - Windows only) gdk_pixbuf: Yes ghostscript: No (disabled) glitz: No (disabled by default - incomplete) gtk: No (gtk library not available) lasi: No (disabled) ming: No (disabled by default - incomplete) pangocairo: No (disabled) quartz: No (disabled by default - Mac only) rsvg: No (disabled) visio: No (disabled by default - experimental) xlib: No (disabled or unavailable) language extensions: gv_sharp: No (swig not available) gv_go: No (disabled by default - experimental) gv_guile: No (swig not available) gv_io: No (disabled by default - no swig support yet) gv_java: No (swig not available) gv_lua: No (swig not available) gv_ocaml: No (swig not available) gv_perl: No (swig not available) gv_php: No (swig not available) gv_python: No (swig not available) gv_python23: No (disabled by default - for multiversion installs) gv_python24: No (disabled by default - for multiversion installs) gv_python25: No (disabled by default - for multiversion installs) gv_python26: No (disabled by default - for multiversion installs) gv_python27: No (disabled by default - for multiversion installs) gv_R: No (swig not available) gv_ruby: No (swig not available) gv_tcl: No (swig not available) tcldot: Yes tclpathplan: Yes gdtclft: No (gd not available) tkspline: Yes grep 'PACKAGE\|VERSION\|GVPLUGIN' config.h > graphviz_version.h make install-recursive make[1]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' Making install in libltdl make[2]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' make install-am make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT dlopen.lo -MD -MP -MF .deps/dlopen.Tpo -c -o dlopen.lo `test -f 'loaders/dlopen.c' || echo './'`loaders/dlopen.c libtool: compile: gcc -DHAVE_CONFIG_H -I. "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT dlopen.lo -MD -MP -MF .deps/dlopen.Tpo -c loaders/dlopen.c -fPIC -DPIC -o dlopen.o mv -f .deps/dlopen.Tpo .deps/dlopen.Plo /bin/bash ./libtool --tag=CC --mode=link gcc -std=gnu99 -Wall -pedantic -module -avoid-version -L/usr/local/lib -o dlopen.la dlopen.lo -ldl -ldl libtool: link: ar cru .libs/dlopen.a dlopen.o ar: `u' modifier ignored since `D' is the default (see `U') libtool: link: ranlib .libs/dlopen.a libtool: link: ( cd ".libs" && rm -f "dlopen.la" && ln -s "../dlopen.la" "dlopen.la" ) /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-preopen.lo -MD -MP -MF .deps/libltdlc_la-preopen.Tpo -c -o libltdlc_la-preopen.lo `test -f 'loaders/preopen.c' || echo './'`loaders/preopen.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-preopen.lo -MD -MP -MF .deps/libltdlc_la-preopen.Tpo -c loaders/preopen.c -fPIC -DPIC -o libltdlc_la-preopen.o In file included from libltdl/lt__alloc.h:34, from libltdl/lt__private.h:51, from loaders/preopen.c:32: loaders/preopen.c: In function 'free_symlists': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ loaders/preopen.c:246:7: note: in expansion of macro 'FREE' 246 | FREE (lists); | ^~~~ mv -f .deps/libltdlc_la-preopen.Tpo .deps/libltdlc_la-preopen.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt__alloc.lo -MD -MP -MF .deps/libltdlc_la-lt__alloc.Tpo -c -o libltdlc_la-lt__alloc.lo `test -f 'lt__alloc.c' || echo './'`lt__alloc.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt__alloc.lo -MD -MP -MF .deps/libltdlc_la-lt__alloc.Tpo -c lt__alloc.c -fPIC -DPIC -o libltdlc_la-lt__alloc.o mv -f .deps/libltdlc_la-lt__alloc.Tpo .deps/libltdlc_la-lt__alloc.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt_dlloader.lo -MD -MP -MF .deps/libltdlc_la-lt_dlloader.Tpo -c -o libltdlc_la-lt_dlloader.lo `test -f 'lt_dlloader.c' || echo './'`lt_dlloader.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt_dlloader.lo -MD -MP -MF .deps/libltdlc_la-lt_dlloader.Tpo -c lt_dlloader.c -fPIC -DPIC -o libltdlc_la-lt_dlloader.o mv -f .deps/libltdlc_la-lt_dlloader.Tpo .deps/libltdlc_la-lt_dlloader.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt_error.lo -MD -MP -MF .deps/libltdlc_la-lt_error.Tpo -c -o libltdlc_la-lt_error.lo `test -f 'lt_error.c' || echo './'`lt_error.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-lt_error.lo -MD -MP -MF .deps/libltdlc_la-lt_error.Tpo -c lt_error.c -fPIC -DPIC -o libltdlc_la-lt_error.o mv -f .deps/libltdlc_la-lt_error.Tpo .deps/libltdlc_la-lt_error.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-ltdl.lo -MD -MP -MF .deps/libltdlc_la-ltdl.Tpo -c -o libltdlc_la-ltdl.lo `test -f 'ltdl.c' || echo './'`ltdl.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-ltdl.lo -MD -MP -MF .deps/libltdlc_la-ltdl.Tpo -c ltdl.c -fPIC -DPIC -o libltdlc_la-ltdl.o ltdl.c: In function 'loader_init_callback': ltdl.c:170:32: warning: ISO C forbids conversion of object pointer to function pointer type [-Wpedantic] 170 | lt_get_vtable *vtable_func = (lt_get_vtable *) lt_dlsym (handle, "get_vtable"); | ^ In file included from libltdl/lt__alloc.h:34, from libltdl/lt__private.h:51, from ltdl.c:32: ltdl.c: In function 'lt_dlexit': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:332:8: note: in expansion of macro 'FREE' 332 | FREE (vtable); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:346:7: note: in expansion of macro 'FREE' 346 | FREE(user_search_path); | ^~~~ ltdl.c: In function 'tryall_dlopen': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:460:2: note: in expansion of macro 'FREE' 460 | FREE (handle->info.filename); | ^~~~ ltdl.c: In function 'tryall_dlopen_module': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:520:3: note: in expansion of macro 'FREE' 520 | FREE (filename); | ^~~~ ltdl.c: In function 'foreach_dirinpath': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:693:4: note: in expansion of macro 'FREE' 693 | FREE (filename); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:718:3: note: in expansion of macro 'FREE' 718 | FREE (argz); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:719:3: note: in expansion of macro 'FREE' 719 | FREE (canonical); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:720:3: note: in expansion of macro 'FREE' 720 | FREE (filename); | ^~~~ ltdl.c: In function 'find_file_callback': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:746:7: note: in expansion of macro 'FREE' 746 | FREE (*pdir); | ^~~~ ltdl.c: In function 'unload_deplibs': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:980:7: note: in expansion of macro 'FREE' 980 | FREE (cur->deplibs); | ^~~~ ltdl.c: In function 'trim': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:995:3: note: in expansion of macro 'FREE' 995 | FREE (*dest); | ^~~~ ltdl.c: In function 'parse_dotla_file': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:42:30: note: in expansion of macro 'LT_STMT_START' 42 | #define MEMREASSIGN(p, q) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1119:8: note: in expansion of macro 'MEMREASSIGN' 1119 | MEMREASSIGN (*dlname, last_libname); | ^~~~~~~~~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1127:3: note: in expansion of macro 'FREE' 1127 | FREE (line); | ^~~~ ltdl.c: In function 'try_dlopen': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1172:4: note: in expansion of macro 'FREE' 1172 | FREE (*phandle); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:42:30: note: in expansion of macro 'LT_STMT_START' 42 | #define MEMREASSIGN(p, q) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1224:5: note: in expansion of macro 'MEMREASSIGN' 1224 | MEMREASSIGN (base_name, canonical); | ^~~~~~~~~~~ In file included from libltdl/lt__private.h:51, from ltdl.c:32: ./ltdl.h:44:24: warning: the address of 'libext' will always evaluate as 'true' [-Waddress] 44 | #define LT_STRLEN(s) (((s) && (s)[0]) ? strlen (s) : 0) | ^ libltdl/lt__alloc.h:38:42: note: in definition of macro 'MALLOC' 38 | #define MALLOC(tp, n) (tp*) lt__malloc((n) * sizeof(tp)) | ^ ltdl.c:1268:52: note: in expansion of macro 'LT_STRLEN' 1268 | archive_name = MALLOC (char, LT_STRLEN (name) + LT_STRLEN (libext) + 2); | ^~~~~~~~~ In file included from libltdl/lt__alloc.h:34, from libltdl/lt__private.h:51, from ltdl.c:32: libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1289:4: note: in expansion of macro 'FREE' 1289 | FREE (*phandle); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1377:4: note: in expansion of macro 'FREE' 1377 | FREE (dlname); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1378:4: note: in expansion of macro 'FREE' 1378 | FREE (old_name); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1379:4: note: in expansion of macro 'FREE' 1379 | FREE (libdir); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1380:4: note: in expansion of macro 'FREE' 1380 | FREE (deplibs); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1381:4: note: in expansion of macro 'FREE' 1381 | FREE (*phandle); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1403:7: note: in expansion of macro 'FREE' 1403 | FREE (dlname); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1404:7: note: in expansion of macro 'FREE' 1404 | FREE (old_name); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1405:7: note: in expansion of macro 'FREE' 1405 | FREE (libdir); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1406:7: note: in expansion of macro 'FREE' 1406 | FREE (deplibs); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1410:4: note: in expansion of macro 'FREE' 1410 | FREE (*phandle); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1457:4: note: in expansion of macro 'FREE' 1457 | FREE (*phandle); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:42:30: note: in expansion of macro 'LT_STMT_START' 42 | #define MEMREASSIGN(p, q) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1464:3: note: in expansion of macro 'MEMREASSIGN' 1464 | MEMREASSIGN (*phandle, newhandle); | ^~~~~~~~~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:42:30: note: in expansion of macro 'LT_STMT_START' 42 | #define MEMREASSIGN(p, q) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1469:7: note: in expansion of macro 'MEMREASSIGN' 1469 | MEMREASSIGN ((*phandle)->info.name, name); | ^~~~~~~~~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1478:3: note: in expansion of macro 'FREE' 1478 | FREE (dir); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1479:3: note: in expansion of macro 'FREE' 1479 | FREE (attempt); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1480:3: note: in expansion of macro 'FREE' 1480 | FREE (name); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1482:5: note: in expansion of macro 'FREE' 1482 | FREE (base_name); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1483:3: note: in expansion of macro 'FREE' 1483 | FREE (canonical); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1484:3: note: in expansion of macro 'FREE' 1484 | FREE (archive_name); | ^~~~ ltdl.c: In function 'lt_dladvise_destroy': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1543:5: note: in expansion of macro 'FREE' 1543 | FREE(*padvise); | ^~~~ ltdl.c: In function 'lt_argz_insertdir': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1779:3: note: in expansion of macro 'FREE' 1779 | FREE (buf); | ^~~~ ltdl.c: In function 'foreachfile_callback': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1841:3: note: in expansion of macro 'FREE' 1841 | FREE (argz); | ^~~~ ltdl.c: In function 'lt_dlclose': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1943:7: note: in expansion of macro 'FREE' 1943 | FREE (cur->interface_data); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1945:7: note: in expansion of macro 'FREE' 1945 | FREE (cur->info.filename); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1946:7: note: in expansion of macro 'FREE' 1946 | FREE (cur->info.name); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:1947:7: note: in expansion of macro 'FREE' 1947 | FREE (cur); | ^~~~ ltdl.c: In function 'lt_dlsym': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2030:8: note: in expansion of macro 'FREE' 2030 | FREE (sym); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2051:7: note: in expansion of macro 'FREE' 2051 | FREE (sym); | ^~~~ ltdl.c: In function 'lt_dlpath_insertdir': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:42:30: note: in expansion of macro 'LT_STMT_START' 42 | #define MEMREASSIGN(p, q) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2128:3: note: in expansion of macro 'MEMREASSIGN' 2128 | MEMREASSIGN(*ppath, argz); | ^~~~~~~~~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2131:3: note: in expansion of macro 'FREE' 2131 | FREE (argz); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2132:3: note: in expansion of macro 'FREE' 2132 | FREE (canonical); | ^~~~ ltdl.c: In function 'lt_dlsetsearchpath': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2183:3: note: in expansion of macro 'FREE' 2183 | FREE (user_search_path); | ^~~~ ltdl.c: In function 'lt_dlinterface_register': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2256:2: note: in expansion of macro 'FREE' 2256 | FREE (interface_id); | ^~~~ ltdl.c: In function 'lt_dlinterface_free': libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2267:3: note: in expansion of macro 'FREE' 2267 | FREE (interface_id->id_string); | ^~~~ libltdl/lt_system.h:67:38: warning: ISO C forbids braced-groups within expressions [-Wpedantic] 67 | # define LT_STMT_START (void)( | ^ libltdl/lt__alloc.h:40:23: note: in expansion of macro 'LT_STMT_START' 40 | #define FREE(mem) LT_STMT_START { \ | ^~~~~~~~~~~~~ ltdl.c:2268:3: note: in expansion of macro 'FREE' 2268 | FREE (interface_id); | ^~~~ mv -f .deps/libltdlc_la-ltdl.Tpo .deps/libltdlc_la-ltdl.Plo /bin/bash ./libtool --tag=CC --mode=compile gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc -DLT_CONFIG_H='' -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-slist.lo -MD -MP -MF .deps/libltdlc_la-slist.Tpo -c -o libltdlc_la-slist.lo `test -f 'slist.c' || echo './'`slist.c libtool: compile: gcc -DHAVE_CONFIG_H -I. -DLTDLOPEN=libltdlc "-DLT_CONFIG_H=" -DLTDL -I. -I. -Ilibltdl -I./libltdl -I./libltdl -std=gnu99 -Wall -pedantic -MT libltdlc_la-slist.lo -MD -MP -MF .deps/libltdlc_la-slist.Tpo -c slist.c -fPIC -DPIC -o libltdlc_la-slist.o mv -f .deps/libltdlc_la-slist.Tpo .deps/libltdlc_la-slist.Plo /bin/bash ./libtool --tag=CC --mode=link gcc -std=gnu99 -Wall -pedantic -no-undefined -dlpreopen dlopen.la -L/usr/local/lib -o libltdlc.la libltdlc_la-preopen.lo libltdlc_la-lt__alloc.lo libltdlc_la-lt_dlloader.lo libltdlc_la-lt_error.lo libltdlc_la-ltdl.lo libltdlc_la-slist.lo lt__strl.lo -ldl libtool: link: rm -f .libs/libltdlc.nm .libs/libltdlc.nmS .libs/libltdlc.nmT libtool: link: (cd .libs && gcc -std=gnu99 -Wall -pedantic -c -fno-builtin -fPIC -DPIC "libltdlcS.c") libltdlcS.c:23:29: warning: ISO C forbids conversion of function pointer to object pointer type [-Wpedantic] 23 | {"dlopen_LTX_get_vtable", (void *) &dlopen_LTX_get_vtable}, | ^ libtool: link: rm -f ".libs/libltdlcS.c" ".libs/libltdlc.nm" ".libs/libltdlc.nmS" ".libs/libltdlc.nmT" libtool: link: (cd .libs/libltdlc.lax/dlopen.a && ar x "/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl/./.libs/dlopen.a") libtool: link: ar cru .libs/libltdlc.a libltdlc_la-preopen.o libltdlc_la-lt__alloc.o libltdlc_la-lt_dlloader.o libltdlc_la-lt_error.o libltdlc_la-ltdl.o libltdlc_la-slist.o lt__strl.o .libs/libltdlcS.o .libs/libltdlc.lax/dlopen.a/dlopen.o ar: `u' modifier ignored since `D' is the default (see `U') libtool: link: ranlib .libs/libltdlc.a libtool: link: rm -fr .libs/libltdlc.lax libtool: link: ( cd ".libs" && rm -f "libltdlc.la" && ln -s "../libltdlc.la" "libltdlc.la" ) make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' make[2]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/libltdl' Making install in lib make[2]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' Making install in cdt make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/cdt' CC dtclose.lo CC dtdisc.lo dtdisc.c:13:16: warning: function declaration isn't a prototype [-Wstrict-prototypes] 13 | static Void_t* dtmemory(dt, addr, size, disc) | ^~~~~~~~ CC dtextract.lo CC dtflatten.lo CC dthash.lo dthash.c:15:13: warning: function declaration isn't a prototype [-Wstrict-prototypes] 15 | static void dthtab(dt) | ^~~~~~ dthash.c:81:16: warning: function declaration isn't a prototype [-Wstrict-prototypes] 81 | static Void_t* dthash(dt,obj,type) | ^~~~~~ CC dtlist.lo dtlist.c:11:16: warning: function declaration isn't a prototype [-Wstrict-prototypes] 11 | static Void_t* dtlist(dt, obj, type) | ^~~~~~ CC dtmethod.lo CC dtopen.lo CC dtrenew.lo CC dtrestore.lo CC dtsize.lo dtsize.c:11:12: warning: function declaration isn't a prototype [-Wstrict-prototypes] 11 | static int treecount(e) | ^~~~~~~~~ CC dtstat.lo dtstat.c:11:13: warning: function declaration isn't a prototype [-Wstrict-prototypes] 11 | static void dttstat(ds,root,depth,level) | ^~~~~~~ dtstat.c:31:13: warning: function declaration isn't a prototype [-Wstrict-prototypes] 31 | static void dthstat(data, ds, count) | ^~~~~~~ CC dtstrhash.lo CC dttree.lo dttree.c:14:16: warning: function declaration isn't a prototype [-Wstrict-prototypes] 14 | static Void_t* dttree(dt,obj,type) | ^~~~~~ CC dttreeset.lo dttreeset.c:11:18: warning: function declaration isn't a prototype [-Wstrict-prototypes] 11 | static Dtlink_t* treebalance(list, size) | ^~~~~~~~~~~ CC dtview.lo dtview.c:12:16: warning: function declaration isn't a prototype [-Wstrict-prototypes] 12 | static Void_t* dtvsearch(dt,obj,type) | ^~~~~~~~~ dtview.c: In function 'dtvsearch': dtview.c:20:12: warning: variable 'lk' set but not used [-Wunused-but-set-variable] 20 | int cmp, lk, sz, ky; | ^~ CC dtwalk.lo dtwalk.c: In function 'dtwalk': dtwalk.c:14:1: warning: function declaration isn't a prototype [-Wstrict-prototypes] 14 | int(* userf)(); | ^~~ CCLD libcdt.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libcdt_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/cdt' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' /bin/bash ../../libtool --mode=install /usr/bin/install -c libcdt.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' libtool: install: /usr/bin/install -c .libs/libcdt.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libcdt.la libtool: install: /usr/bin/install -c .libs/libcdt.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libcdt.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libcdt.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libcdt.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 cdt.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 cdt.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /usr/bin/install -c -m 644 libcdt.pc '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 cdt.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/cdt' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/cdt' Making install in graph make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/graph' CC attribs.lo CC agxbuf.lo CC edge.lo CC graph.lo graph.c: In function 'agclose': graph.c:374:5: warning: this 'if' clause does not guard... [-Wmisleading-indentation] 374 | if (g->attr) | ^~ graph.c:376:2: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if' 376 | if (g->didset) | ^~ CC graphio.lo CC lexer.lo lexer.c: In function 'scan_token': lexer.c:141:11: warning: comparison between pointer and zero character constant [-Wpointer-compare] 141 | if (p == '\0') | ^~ lexer.c:141:9: note: did you mean to dereference the pointer? 141 | if (p == '\0') | ^ lexer.c:147:12: warning: pointer targets in returning 'unsigned char *' from a function with return type 'char *' differ in signedness [-Wpointer-sign] 147 | return p; | ^ lexer.c: In function 'html_pair': lexer.c:322:9: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 322 | int rc, depth = 1; | ^~ In file included from lexer.c:20: lexer.c: In function 'aglex': agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ lexer.c:413:29: note: in expansion of macro 'agxbuse' 413 | aglval.str = agstrdup_html(agxbuse(&xb)); | ^~~~~~~ lexer.c:435:26: warning: pointer targets in passing argument 1 of 'scan_token' differ in signedness [-Wpointer-sign] 435 | LexPtr = scan_token(LexPtr, tbuf); | ^~~~~~ | | | char * lexer.c:136:40: note: expected 'unsigned char *' but argument is of type 'char *' 136 | static char *scan_token(unsigned char *p, unsigned char *token) | ~~~~~~~~~~~~~~~^ lexer.c:435:34: warning: pointer targets in passing argument 2 of 'scan_token' differ in signedness [-Wpointer-sign] 435 | LexPtr = scan_token(LexPtr, tbuf); | ^~~~ | | | char * lexer.c:136:58: note: expected 'unsigned char *' but argument is of type 'char *' 136 | static char *scan_token(unsigned char *p, unsigned char *token) | ~~~~~~~~~~~~~~~^~~~~ CC node.lo CC parser.lo CC refstr.lo CC trie.lo CCLD libgraph.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libgraph_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/graph' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' /bin/bash ../../libtool --mode=install /usr/bin/install -c libgraph.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' libtool: install: /usr/bin/install -c .libs/libgraph.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgraph.la libtool: install: /usr/bin/install -c .libs/libgraph.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgraph.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgraph.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgraph.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 graph.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 graph.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /usr/bin/install -c -m 644 libgraph.pc '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 graph.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/graph' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/graph' Making install in pathplan make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pathplan' CC cvt.lo cvt.c:276:13: warning: 'append_bezier' defined but not used [-Wunused-function] 276 | static void append_bezier(Ppoint_t * bezier) | ^~~~~~~~~~~~~ CC inpoly.lo CC route.lo CC shortest.lo CC shortestpth.lo CC solvers.lo CC triang.lo CC util.lo CC visibility.lo CCLD libpathplan.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libpathplan_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pathplan' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' /bin/bash ../../libtool --mode=install /usr/bin/install -c libpathplan.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' libtool: install: /usr/bin/install -c .libs/libpathplan.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libpathplan.la libtool: install: /usr/bin/install -c .libs/libpathplan.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libpathplan.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libpathplan.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libpathplan.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 pathplan.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 pathplan.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /usr/bin/install -c -m 644 libpathplan.pc '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 pathgeom.h pathplan.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pathplan' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pathplan' Making install in vpsc make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/vpsc' make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/vpsc' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/vpsc' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/vpsc' Making install in rbtree make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/rbtree' CC misc.lo CC red_black_tree.lo CC stack.lo CCLD librbtree_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/rbtree' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/rbtree' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/rbtree' Making install in ortho make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/ortho' CC fPQ.lo CC intset.lo CC maze.lo maze.c: In function 'mkMazeGraph': maze.c:325:20: warning: variable 'ncnt' set but not used [-Wunused-but-set-variable] 325 | int nsides, i, ncnt, maxdeg; | ^~~~ CC ortho.lo ortho.c: In function 'addLoop': ortho.c:461:9: warning: variable 'wt' set but not used [-Wunused-but-set-variable] 461 | double wt; | ^~ ortho.c: In function 'addNodeEdges': ortho.c:497:9: warning: variable 'wt' set but not used [-Wunused-but-set-variable] 497 | double wt; | ^~ CC partition.lo partition.c: In function 'traverse_polygon': partition.c:328:7: warning: variable 'do_switch' set but not used [-Wunused-but-set-variable] 328 | int do_switch = FALSE; | ^~~~~~~~~ partition.c:327:7: warning: variable 'retval' set but not used [-Wunused-but-set-variable] 327 | int retval; | ^~~~~~ partition.c: In function 'partition': partition.c:731:9: warning: variable 'nt' set but not used [-Wunused-but-set-variable] 731 | int nt; | ^~ CC rawgraph.lo CC sgraph.lo CC trapezoid.lo trapezoid.c:22: warning: "__USE_ISOC99" redefined 22 | #define __USE_ISOC99 | In file included from /usr/include/x86_64-linux-gnu/bits/libc-header-start.h:33, from /usr/include/string.h:26, from trapezoid.c:19: /usr/include/features.h:336: note: this is the location of the previous definition 336 | # define __USE_ISOC99 1 | trapezoid.c:66:12: warning: function declaration isn't a prototype [-Wstrict-prototypes] 66 | static int newnode() | ^~~~~~~ trapezoid.c: In function 'add_segment': trapezoid.c:437:7: warning: variable 'tritop' set but not used [-Wunused-but-set-variable] 437 | int tritop = 0, tribot = 0, is_swapped; | ^~~~~~ CCLD libortho_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/ortho' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/ortho' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/ortho' Making install in sparse make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sparse' CC SparseMatrix.lo SparseMatrix.c: In function 'SparseMatrix_import_binary': SparseMatrix.c:629:48: warning: variable 'iread' set but not used [-Wunused-but-set-variable] 629 | int m, n, nz, nzmax, type, format, property, iread; | ^~~~~ CC general.lo CC BinaryHeap.lo In file included from general.h:21, from BinaryHeap.h:17, from BinaryHeap.c:14: BinaryHeap.c: In function 'BinaryHeap_sanity_check': BinaryHeap.c:269:74: warning: suggest parentheses around assignment used as truth value [-Wparentheses] 269 | for (i = 0; i < h->len + IntStack_get_length(h->id_stack); i++) assert(mask[i] =- 1); | ^~~~ CC IntStack.lo CCLD libsparse_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sparse' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sparse' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sparse' Making install in patchwork make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/patchwork' CC patchwork.lo CC patchworkinit.lo CC tree_map.lo CCLD libpatchwork_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/patchwork' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/patchwork' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/patchwork' Making install in common make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/common' CC arrows.lo CC colxlate.lo CC fontmetrics.lo CC args.lo CC memory.lo CC globals.lo CC htmllex.lo In file included from render.h:47, from htmllex.c:15: htmllex.c: In function 'error_context': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ htmllex.c:57:35: note: in expansion of macro 'agxbuse' 57 | agerr(AGPREV, "... %s ...\n", agxbuse(state.xb)); | ^~~~~~~ CC htmlparse.lo In file included from render.h:47, from ../../lib/common/htmlparse.y:16: ../../lib/common/htmlparse.y: In function 'appendFItemList': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ ../../lib/common/htmlparse.y:193:25: note: in expansion of macro 'agxbuse' 193 | fi->ti.str = strdup(agxbuse(ag)); | ^~~~~~~ ../../lib/common/htmlparse.y: In function 'htmlparse': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ ../../lib/common/htmlparse.y:500:24: note: in expansion of macro 'agxbuse' 500 | if (nonSpace(agxbuse(HTMLstate.str))) { | ^~~~~~~ In file included from render.h:47, from ../../lib/common/htmlparse.y:16: ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ ../../lib/common/htmlparse.y:511:24: note: in expansion of macro 'agxbuse' 511 | if (nonSpace(agxbuse(HTMLstate.str))) { | ^~~~~~~ CC htmltable.lo In file included from render.h:47, from htmltable.c:35: htmltable.c: In function 'initAnchor': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ htmltable.c:299:7: note: in expansion of macro 'agxbuse' 299 | id = agxbuse (&xb); | ^~~~~~~ htmltable.c: In function 'nameOf': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ htmltable.c:1665:12: note: in expansion of macro 'agxbuse' 1665 | return agxbuse(xb); | ^~~~~~~ CC input.lo input.c: In function 'dotneato_basename': input.c:136:5: warning: this 'while' clause does not guard... [-Wmisleading-indentation] 136 | while (*s) s++; s--; | ^~~~~ input.c:136:21: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'while' 136 | while (*s) s++; s--; | ^ In file included from render.h:47, from input.c:15: input.c: In function 'global_def': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ input.c:200:24: note: in expansion of macro 'agxbuse' 200 | sym = dclfun(NULL, agxbuse (xb), rhs); | ^~~~~~~ CC pointset.lo CC postproc.lo CC routespl.lo CC splines.lo CC psusershape.lo psusershape.c: In function 'user_init': psusershape.c:49:30: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 49 | int saw_bb, must_inline, rc; | ^~ In file included from render.h:47, from psusershape.c:20: psusershape.c: In function 'ps_string': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ psusershape.c:303:5: note: in expansion of macro 'agxbputc' 303 | agxbputc (&xb, RPAREN); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ psusershape.c:305:9: note: in expansion of macro 'agxbuse' 305 | s = agxbuse(&xb); | ^~~~~~~ psusershape.c:268:9: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 268 | int rc; | ^~ CC timing.lo CC labels.lo labels.c: In function 'xml_url_string': labels.c:561:21: warning: variable 'prev' set but not used [-Wunused-but-set-variable] 561 | char *p, *sub, *prev = NULL; | ^~~~ CC ns.lo CC shapes.lo CC utils.lo utils.c: In function 'chkPort': utils.c:690:5: warning: this 'else' clause does not guard... [-Wmisleading-indentation] 690 | else | ^~~~ utils.c:692:2: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'else' 692 | pt.name = s; | ^~ In file included from render.h:47, from utils.c:14: utils.c: In function 'clustNode': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.c:950:5: note: in expansion of macro 'agxbputc' 950 | agxbputc(xb, ':'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ utils.c:954:29: note: in expansion of macro 'agxbuse' 954 | cn = agnode(agroot(cg), agxbuse(xb)); | ^~~~~~~ utils.c: In function 'scanEntity': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.c:1359:5: note: in expansion of macro 'agxbputc' 1359 | agxbputc(xb, '&'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.c:1369:5: note: in expansion of macro 'agxbputc' 1369 | agxbputc(xb, '#'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils.c:1371:5: note: in expansion of macro 'agxbputc' 1371 | agxbputc(xb, ';'); | ^~~~~~~~ utils.c: In function 'htmlEntityUTF8': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ utils.c:1515:18: note: in expansion of macro 'agxbuse' 1515 | ns = strdup (agxbuse(&xb)); | ^~~~~~~ utils.c:1456:9: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 1456 | int rc; | ^~ In file included from render.h:47, from utils.c:14: utils.c: In function 'latin1ToUTF8': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ utils.c:1555:18: note: in expansion of macro 'agxbuse' 1555 | ns = strdup (agxbuse(&xb)); | ^~~~~~~ utils.c:1531:9: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 1531 | int rc; | ^~ In file included from render.h:47, from utils.c:14: utils.c: In function 'utf8ToLatin1': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ utils.c:1587:18: note: in expansion of macro 'agxbuse' 1587 | ns = strdup (agxbuse(&xb)); | ^~~~~~~ utils.c:1573:9: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 1573 | int rc; | ^~ CC geom.lo CC output.lo In file included from render.h:47, from output.c:14: output.c: In function 'attach_attrs_and_arrows': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ output.c:350:22: note: in expansion of macro 'agxbuse' 350 | agset(n, "pos", agxbuse(&xb)); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ output.c:373:24: note: in expansion of macro 'agxbuse' 373 | agset(n, "rects", agxbuse(&xb)); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ output.c:391:4: note: in expansion of macro 'agxbputc' 391 | agxbputc(&xb, ' '); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ output.c:403:32: note: in expansion of macro 'agxbuse' 403 | agxset(n, N_vertices->index, agxbuse(&xb)); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ output.c:417:4: note: in expansion of macro 'agxbputc' 417 | agxbputc(&xb, ';'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ output.c:434:8: note: in expansion of macro 'agxbputc' 434 | agxbputc(&xb, ' '); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ output.c:440:19: note: in expansion of macro 'agxbuse' 440 | agset(e, "pos", agxbuse(&xb)); | ^~~~~~~ CC emit.lo In file included from render.h:40, from emit.c:25: emit.c: In function 'initMapData': types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:158:37: note: in expansion of macro 'TRUE' 158 | obj->explicit_tooltip = TRUE; | ^~~~ In file included from render.h:47, from emit.c:25: emit.c: In function 'getObjId': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ emit.c:212:2: note: in expansion of macro 'agxbputc' 212 | agxbputc (xb, '_'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ emit.c:218:12: note: in expansion of macro 'agxbuse' 218 | return agxbuse(xb); | ^~~~~~~ emit.c: In function 'emit_xdot': emit.c:941:11: warning: variable 'fontname' set but not used [-Wunused-but-set-variable] 941 | char* fontname; | ^~~~~~~~ emit.c:940:12: warning: variable 'fontsize' set but not used [-Wunused-but-set-variable] 940 | double fontsize; | ^~~~~~~~ In file included from render.h:47, from emit.c:25: emit.c: In function 'selectedlayer': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ emit.c:1152:22: note: in expansion of macro 'agxbuse' 1152 | w1 = w0 = strtok(agxbuse(&xb), gvc->layerDelims); | ^~~~~~~ In file included from render.h:40, from emit.c:25: emit.c: In function 'emit_begin_edge': types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2075:37: note: in expansion of macro 'TRUE' 2075 | obj->explicit_tailurl = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2081:37: note: in expansion of macro 'TRUE' 2081 | obj->explicit_headurl = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2091:33: note: in expansion of macro 'TRUE' 2091 | obj->explicit_edgetarget = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2102:33: note: in expansion of macro 'TRUE' 2102 | obj->explicit_tailtarget = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2107:33: note: in expansion of macro 'TRUE' 2107 | obj->explicit_headtarget = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2118:30: note: in expansion of macro 'TRUE' 2118 | obj->explicit_tooltip = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2125:35: note: in expansion of macro 'TRUE' 2125 | obj->explicit_labeltooltip = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2132:34: note: in expansion of macro 'TRUE' 2132 | obj->explicit_tailtooltip = TRUE; | ^~~~ types.h:23:16: warning: overflow in conversion from 'int' to 'signed char:1' changes value from '1' to '-1' [-Woverflow] 23 | #define NOT(v) (!(v)) | ^ types.h:29:14: note: in expansion of macro 'NOT' 29 | #define TRUE NOT(FALSE) | ^~~ emit.c:2139:34: note: in expansion of macro 'TRUE' 2139 | obj->explicit_headtooltip = TRUE; | ^~~~ emit.c: In function 'nodeIntersect': emit.c:2247:11: warning: variable 'target' set but not used [-Wunused-but-set-variable] 2247 | char* target; | ^~~~~~ emit.c:2246:11: warning: variable 'tooltip' set but not used [-Wunused-but-set-variable] 2246 | char* tooltip; | ^~~~~~~ emit.c: In function 'xdotBB': emit.c:2474:12: warning: variable 'sz' set but not used [-Wunused-but-set-variable] 2474 | pointf sz; | ^~ emit.c: In function 'style_token': emit.c:3262:16: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 3262 | int token, rc; | ^~ In file included from render.h:47, from emit.c:25: emit.c: In function 'parse_style': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ emit.c:3356:3: note: in expansion of macro 'agxbputc' 3356 | agxbputc(&ps_xb, '\0'); /* terminate previous */ | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ emit.c:3359:22: note: in expansion of macro 'agxbuse' 3359 | agxbput(&ps_xb, agxbuse(&xb)); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ emit.c:3360:6: note: in expansion of macro 'agxbputc' 3360 | agxbputc(&ps_xb, '\0'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ emit.c:3372:11: note: in expansion of macro 'agxbuse' 3372 | (void)agxbuse(&ps_xb); /* adds final '\0' to buffer */ | ^~~~~~~ CCLD libcommon_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/common' make[4]: Nothing to be done for 'install-exec-am'. /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 arith.h geom.h color.h types.h textpara.h usershape.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/common' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/common' Making install in pack make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pack' CC ccomps.lo CC pack.lo CCLD libpack_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pack' make[4]: Nothing to be done for 'install-exec-am'. /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 pack.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 pack.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 pack.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pack' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/pack' Making install in xdot make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/xdot' CC xdot.lo xdot.c: In function 'sprintXDot': xdot.c:537:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 537 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ xdot.c:538:21: note: in expansion of macro 'agxbputc' 538 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ xdot.c:606:16: note: in expansion of macro 'agxbuse' 606 | s = strdup(agxbuse(&xb)); | ^~~~~~~ CCLD libxdot.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libxdot_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/xdot' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' /bin/bash ../../libtool --mode=install /usr/bin/install -c libxdot.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' libtool: install: /usr/bin/install -c .libs/libxdot.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libxdot.la libtool: install: /usr/bin/install -c .libs/libxdot.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libxdot.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libxdot.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libxdot.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 xdot.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 xdot.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /usr/bin/install -c -m 644 libxdot.pc '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 xdot.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/xdot' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/xdot' Making install in gvc make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/gvc' CC gvrender.lo CC gvlayout.lo CC gvdevice.lo gvdevice.c:46:11: warning: overflow in conversion from 'int' to 'char' changes value from '139' to '-117' [-Woverflow] 46 | {0x1f, 0x8b, /*magic*/ Z_DEFLATED, 0 /*flags*/, 0,0,0,0 /*time*/, 0 /*xflags*/, OS_CODE}; | ^~~~ In file included from ../../lib/common/types.h:18, from gvplugin_device.h:17, from gvdevice.c:55: gvdevice.c: In function 'gvfwrite': gvdevice.c:269:12: warning: suggest parentheses around assignment used as truth value [-Wparentheses] 269 | assert(size = sizeof(char)); | ^~~~ CC gvloadimage.lo CC gvcontext.lo CC gvjobs.lo CC gvevent.lo CC gvplugin.lo In file included from gvplugin.c:23: gvplugin.c: In function 'gvplugin_list': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvplugin.c:392:3: note: in expansion of macro 'agxbputc' 392 | agxbputc(&xb,' '); agxbput(&xb, (*pnext)->typestr); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvplugin.c:393:3: note: in expansion of macro 'agxbputc' 393 | agxbputc(&xb,':'); agxbput(&xb, (*pnext)->package->name); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvplugin.c:410:3: note: in expansion of macro 'agxbputc' 410 | agxbputc(&xb,' '); agxbput(&xb, q); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvplugin.c:423:7: note: in expansion of macro 'agxbuse' 423 | bp = agxbuse(&xb); | ^~~~~~~ CC gvconfig.lo CC gvtextlayout.lo CC gvusershape.lo gvusershape.c: In function 'gvusershape_open': gvusershape.c:415:3: warning: this 'if' clause does not guard... [-Wmisleading-indentation] 415 | if (!(us->data = (void*)find_user_shape(us->name))) | ^~ gvusershape.c:417:7: note: ...this statement, but the latter is misleadingly indented as if it were guarded by the 'if' 417 | free(us); | ^~~~ CC gvc.lo CCLD libgvc.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libgvc_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/gvc' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' /bin/bash ../../libtool --mode=install /usr/bin/install -c libgvc.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib' libtool: install: /usr/bin/install -c .libs/libgvc.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgvc.la libtool: install: /usr/bin/install -c .libs/libgvc.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgvc.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgvc.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/libgvc.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /usr/bin/install -c -m 644 gvc.3 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man3' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /usr/bin/install -c -m 644 gvc.3.pdf '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc/pdf' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /usr/bin/install -c -m 644 libgvc.pc '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 gvc.h gvcext.h gvplugin.h gvcjob.h gvcommon.h gvplugin_render.h gvplugin_layout.h gvconfig.h gvplugin_textlayout.h gvplugin_device.h gvplugin_loadimage.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/gvc' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/gvc' Making install in circogen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/circogen' CC circularinit.lo CC nodelist.lo CC block.lo CC edgelist.lo CC circular.lo CC deglist.lo CC blocktree.lo CC blockpath.lo CC circpos.lo CC nodeset.lo CCLD libcircogen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/circogen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/circogen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/circogen' Making install in dotgen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/dotgen' CC acyclic.lo CC class1.lo CC class2.lo CC cluster.lo CC compound.lo CC conc.lo CC decomp.lo CC fastgr.lo CC flat.lo CC dotinit.lo CC mincross.lo CC position.lo CC rank.lo CC sameport.lo CC dotsplines.lo dotsplines.c: In function 'makeLineEdge': dotsplines.c:1604:23: warning: right-hand operand of comma expression has no effect [-Wunused-value] 1604 | lp = ED_label(e)->pos, lp; | ^ dotsplines.c: In function 'completeregularpath': dotsplines.c:1866:9: warning: variable 'pn' set but not used [-Wunused-but-set-variable] 1866 | int pn; | ^~ dotsplines.c:1865:13: warning: variable 'pp' set but not used [-Wunused-but-set-variable] 1865 | pointf *pp; | ^~ CC aspect.lo aspect.c: In function 'computeCombiAR': aspect.c:1614:12: warning: variable 'maxLayerIndex' set but not used [-Wunused-but-set-variable] 1614 | int i, maxLayerIndex; | ^~~~~~~~~~~~~ CCLD libdotgen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/dotgen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/dotgen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/dotgen' Making install in fdpgen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/fdpgen' CC comp.lo CC dbg.lo dbg.c:486: warning: ISO C forbids an empty translation unit [-Wpedantic] 486 | #endif /* DEBUG */ | CC grid.lo CC fdpinit.lo CC layout.lo CC tlayout.lo CC xlayout.lo CC clusteredges.lo CCLD libfdpgen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/fdpgen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/fdpgen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/fdpgen' Making install in neatogen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/neatogen' CC adjust.lo CC circuit.lo CC edges.lo CC geometry.lo CC heap.lo heap.c: In function 'PQdumphe': heap.c:129:17: warning: format '%p' expects argument of type 'void *', but argument 2 has type 'Halfedge *' {aka 'struct Halfedge *'} [-Wformat=] 129 | printf(" [%p] %p %p %d %d %d %d %f\n", | ~^ | | | void * 130 | p, p->ELleft, p->ELright, p->ELedge->edgenbr, | ~ | | | Halfedge * {aka struct Halfedge *} heap.c:129:21: warning: format '%p' expects argument of type 'void *', but argument 3 has type 'struct Halfedge *' [-Wformat=] 129 | printf(" [%p] %p %p %d %d %d %d %f\n", | ~^ | | | void * 130 | p, p->ELleft, p->ELright, p->ELedge->edgenbr, | ~~~~~~~~~ | | | struct Halfedge * heap.c:129:24: warning: format '%p' expects argument of type 'void *', but argument 4 has type 'struct Halfedge *' [-Wformat=] 129 | printf(" [%p] %p %p %d %d %d %d %f\n", | ~^ | | | void * 130 | p, p->ELleft, p->ELright, p->ELedge->edgenbr, | ~~~~~~~~~~ | | | struct Halfedge * CC hedges.lo CC info.lo CC neatoinit.lo CC legal.lo CC lu.lo CC matinv.lo CC memory.lo CC poly.lo CC printvis.lo CC site.lo CC solve.lo CC neatosplines.lo neatosplines.c: In function 'makeObstacle': neatosplines.c:363:13: warning: variable 'desc' set but not used [-Wunused-but-set-variable] 363 | epsf_t *desc; | ^~~~ neatosplines.c: In function '_spline_edges': neatosplines.c:603:15: warning: unused variable 'rtr' [-Wunused-variable] 603 | router_t* rtr = 0; | ^~~ CC stuff.lo CC voronoi.lo CC stress.lo CC kkutils.lo CC matrix_ops.lo CC embed_graph.lo CC dijkstra.lo CC conjgrad.lo CC pca.lo CC closest.lo CC bfs.lo CC constraint.lo CC quad_prog_solve.lo CC smart_ini_x.lo CC constrained_majorization.lo CC opt_arrangement.lo CC overlap.lo CC call_tri.lo CC compute_hierarchy.lo CC delaunay.lo CC multispline.lo CCLD libneatogen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/neatogen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/neatogen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/neatogen' Making install in twopigen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/twopigen' CC twopiinit.lo CC circle.lo CCLD libtwopigen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/twopigen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/twopigen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/twopigen' Making install in sfdpgen make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sfdpgen' CC sfdpinit.lo CC spring_electrical.lo spring_electrical.c: In function 'rotate': spring_electrical.c:1850:8: warning: variable 'y' set but not used [-Wunused-but-set-variable] 1850 | real y[4], axis[2], center[2], x0, x1; | ^ CC LinkedList.lo CC sparse_solve.lo CC post_process.lo post_process.c: In function 'StressMajorizationSmoother2_new': post_process.c:110:36: warning: variable 'dd' set but not used [-Wunused-but-set-variable] 110 | real *avg_dist, diag_d, diag_w, *dd, dist, s = 0, stop = 0, sbot = 0; | ^~ post_process.c: In function 'SparseStressMajorizationSmoother_delete': post_process.c:415:10: warning: ISO C forbids 'return' with expression, in function returning void [-Wpedantic] 415 | return StressMajorizationSmoother_delete(sm); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ post_process.c:414:6: note: declared here 414 | void SparseStressMajorizationSmoother_delete(SparseStressMajorizationSmoother sm){ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ post_process.c: In function 'StressMajorizationSmoother_smooth': post_process.c:578:102: warning: variable 'res' set but not used [-Wunused-but-set-variable] 578 | real *w, *dd, *d, *y = NULL, *x0 = NULL, *x00 = NULL, diag, diff = 1, *lambda = sm->lambda, maxit, res, alpha = 0., M = 0.; | ^~~ post_process.c:578:9: warning: variable 'w' set but not used [-Wunused-but-set-variable] 578 | real *w, *dd, *d, *y = NULL, *x0 = NULL, *x00 = NULL, diag, diff = 1, *lambda = sm->lambda, maxit, res, alpha = 0., M = 0.; | ^ post_process.c:577:32: warning: variable 'jw' set but not used [-Wunused-but-set-variable] 577 | int i, j, m, *id, *jd, *iw, *jw, idiag, flag = 0, iter = 0; | ^~ post_process.c:577:27: warning: variable 'iw' set but not used [-Wunused-but-set-variable] 577 | int i, j, m, *id, *jd, *iw, *jw, idiag, flag = 0, iter = 0; | ^~ post_process.c: In function 'TriangleSmoother_new': post_process.c:698:68: warning: variable 'jd' set but not used [-Wunused-but-set-variable] 698 | int i, j, k, m = A->m, *ia = A->ia, *ja = A->ja, *iw, *jw, *id, *jd, jdiag, nz; | ^~ post_process.c:698:63: warning: variable 'id' set but not used [-Wunused-but-set-variable] 698 | int i, j, k, m = A->m, *ia = A->ia, *ja = A->ja, *iw, *jw, *id, *jd, jdiag, nz; | ^~ CC stress_model.lo CC uniform_stress.lo uniform_stress.c: In function 'uniform_stress': uniform_stress.c:112:8: warning: variable 'res' set but not used [-Wunused-but-set-variable] 112 | real res; | ^~~ CC QuadTree.lo CC Multilevel.lo Multilevel.c: In function 'maximal_independent_vertex_set': Multilevel.c:87:30: warning: variable 'n' set but not used [-Wunused-but-set-variable] 87 | int i, ii, j, *ia, *ja, m, n, *p = NULL; | ^ Multilevel.c: In function 'maximal_independent_vertex_set_RS': Multilevel.c:138:57: warning: variable 'removed' set but not used [-Wunused-but-set-variable] 138 | int i, jj, ii, *p = NULL, j, k, *ia, *ja, m, n, gain, removed, nf = 0; | ^~~~~~~ Multilevel.c:138:48: warning: variable 'n' set but not used [-Wunused-but-set-variable] 138 | int i, jj, ii, *p = NULL, j, k, *ia, *ja, m, n, gain, removed, nf = 0; | ^ Multilevel.c: In function 'maximal_independent_edge_set_heavest_edge_pernode_leaves_first': Multilevel.c:327:30: warning: variable 'n' set but not used [-Wunused-but-set-variable] 327 | int i, ii, j, *ia, *ja, m, n, *p = NULL, q; | ^ Multilevel.c: In function 'maximal_independent_edge_set_heavest_edge_pernode_supernodes_first': Multilevel.c:502:30: warning: variable 'n' set but not used [-Wunused-but-set-variable] 502 | int i, ii, j, *ia, *ja, m, n, *p = NULL; | ^ Multilevel.c: In function 'maximal_independent_edge_set_heavest_cluster_pernode_leaves_first': Multilevel.c:646:30: warning: variable 'n' set but not used [-Wunused-but-set-variable] 646 | int i, ii, j, *ia, *ja, m, n, *p = NULL, q, iv; | ^ CC PriorityQueue.lo CCLD libsfdpgen_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sfdpgen' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sfdpgen' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/sfdpgen' Making install in osage make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/osage' CC osageinit.lo CCLD libosage_C.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/osage' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/osage' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib/osage' make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' make[2]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/lib' Making install in plugin make[2]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' Making install in core make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/core' CC gvplugin_core.lo CC gvrender_core_dot.lo In file included from gvrender_core_dot.c:32: gvrender_core_dot.c: In function 'xdot_str': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvrender_core_dot.c:100:5: note: in expansion of macro 'agxbputc' 100 | agxbputc(xbufs[emit_state], ' '); | ^~~~~~~~ gvrender_core_dot.c: In function 'xdot_points': gvrender_core_dot.c:107:12: warning: variable 'rc' set but not used [-Wunused-but-set-variable] 107 | int i, rc; | ^~ In file included from gvrender_core_dot.c:32: gvrender_core_dot.c: In function 'xdot_style': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvrender_core_dot.c:162:13: note: in expansion of macro 'agxbputc' 162 | agxbputc(&xbuf, '('); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvrender_core_dot.c:166:21: note: in expansion of macro 'agxbputc' 166 | agxbputc(&xbuf, ','); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ gvrender_core_dot.c:172:13: note: in expansion of macro 'agxbputc' 172 | agxbputc(&xbuf, ')'); | ^~~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:174:30: note: in expansion of macro 'agxbuse' 174 | xdot_str (job, "S ", agxbuse(&xbuf)); | ^~~~~~~ gvrender_core_dot.c: In function 'xdot_end_node': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:186:31: note: in expansion of macro 'agxbuse' 186 | agxset(n, xd->n_draw->index, agxbuse(xbufs[EMIT_NDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:192:33: note: in expansion of macro 'agxbuse' 192 | agxset(n, xd->n_l_draw->index, agxbuse(xbufs[EMIT_NLABEL])); | ^~~~~~~ gvrender_core_dot.c: In function 'xdot_end_edge': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:206:31: note: in expansion of macro 'agxbuse' 206 | agxset(e, xd->e_draw->index, agxbuse(xbufs[EMIT_EDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:212:31: note: in expansion of macro 'agxbuse' 212 | agxset(e, xd->t_draw->index, agxbuse(xbufs[EMIT_TDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:218:31: note: in expansion of macro 'agxbuse' 218 | agxset(e, xd->h_draw->index, agxbuse(xbufs[EMIT_HDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:224:32: note: in expansion of macro 'agxbuse' 224 | agxset(e, xd->e_l_draw->index,agxbuse(xbufs[EMIT_ELABEL])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:230:32: note: in expansion of macro 'agxbuse' 230 | agxset(e, xd->tl_draw->index, agxbuse(xbufs[EMIT_TLABEL])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:236:32: note: in expansion of macro 'agxbuse' 236 | agxset(e, xd->hl_draw->index, agxbuse(xbufs[EMIT_HLABEL])); | ^~~~~~~ gvrender_core_dot.c: In function 'xdot_end_cluster': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:289:42: note: in expansion of macro 'agxbuse' 289 | agxset(cluster_g, xd->g_draw->index, agxbuse(xbufs[EMIT_CDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:295:41: note: in expansion of macro 'agxbuse' 295 | agxset(cluster_g, xd->g_l_draw->index, agxbuse(xbufs[EMIT_CLABEL])); | ^~~~~~~ gvrender_core_dot.c: In function 'xdot_end_graph': ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:436:31: note: in expansion of macro 'agxbuse' 436 | agxset(g, xd->g_draw->index, agxbuse(xbufs[EMIT_GDRAW])); | ^~~~~~~ ../../lib/graph/agxbuf.h:68:11: warning: right-hand operand of comma expression has no effect [-Wunused-value] 68 | (int)(*(X)->ptr++ = ((unsigned char)C))) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../../lib/graph/agxbuf.h:74:21: note: in expansion of macro 'agxbputc' 74 | #define agxbuse(X) (agxbputc(X,'\0'),(char*)((X)->ptr = (X)->buf)) | ^~~~~~~~ gvrender_core_dot.c:444:33: note: in expansion of macro 'agxbuse' 444 | agxset(g, xd->g_l_draw->index, agxbuse(xbufs[EMIT_GLABEL])); | ^~~~~~~ CC gvrender_core_fig.lo CC gvrender_core_map.lo CC gvrender_core_ps.lo CC gvrender_core_svg.lo CC gvrender_core_tk.lo gvrender_core_tk.c: In function 'tkgen_print_tags': gvrender_core_tk.c:58:18: warning: variable 'ObjId' set but not used [-Wunused-but-set-variable] 58 | unsigned int ObjId; | ^~~~~ gvrender_core_tk.c:57:21: warning: variable 'ObjPart' set but not used [-Wunused-but-set-variable] 57 | char *ObjType, *ObjPart; | ^~~~~~~ CC gvrender_core_vml.lo gvrender_core_vml.c: In function 'vml_ellipse': gvrender_core_vml.c:452:38: warning: variable 'bottom' set but not used [-Wunused-but-set-variable] 452 | double dx, dy, left, right, top, bottom; | ^~~~~~ gvrender_core_vml.c:452:26: warning: variable 'right' set but not used [-Wunused-but-set-variable] 452 | double dx, dy, left, right, top, bottom; | ^~~~~ CC gvloadimage_core.lo CCLD libgvplugin_core_C.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libgvplugin_core.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/core' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' /bin/bash ../../libtool --mode=install /usr/bin/install -c libgvplugin_core.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' libtool: install: /usr/bin/install -c .libs/libgvplugin_core.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_core.la libtool: install: /usr/bin/install -c .libs/libgvplugin_core.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_core.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_core.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_core.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/core' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/core' Making install in dot_layout make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/dot_layout' CC gvplugin_dot_layout.lo CC gvlayout_dot_layout.lo CCLD libgvplugin_dot_layout_C.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libgvplugin_dot_layout.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/dot_layout' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' /bin/bash ../../libtool --mode=install /usr/bin/install -c libgvplugin_dot_layout.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' libtool: install: /usr/bin/install -c .libs/libgvplugin_dot_layout.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_dot_layout.la libtool: install: /usr/bin/install -c .libs/libgvplugin_dot_layout.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_dot_layout.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_dot_layout.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_dot_layout.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/dot_layout' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/dot_layout' Making install in neato_layout make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/neato_layout' CC gvplugin_neato_layout.lo CC gvlayout_neato_layout.lo CCLD libgvplugin_neato_layout_C.la ar: `u' modifier ignored since `D' is the default (see `U') CCLD libgvplugin_neato_layout.la ar: `u' modifier ignored since `D' is the default (see `U') make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/neato_layout' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' /bin/bash ../../libtool --mode=install /usr/bin/install -c libgvplugin_neato_layout.la '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' libtool: install: /usr/bin/install -c .libs/libgvplugin_neato_layout.lai /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_neato_layout.la libtool: install: /usr/bin/install -c .libs/libgvplugin_neato_layout.a /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_neato_layout.a libtool: install: chmod 644 /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_neato_layout.a libtool: install: ranlib /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz/libgvplugin_neato_layout.a libtool: finish: PATH="/home/omnipath/.local/bin:/home/omnipath/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/snap/bin:/sbin" ldconfig -n /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz ---------------------------------------------------------------------- Libraries have been installed in: /tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz If you ever happen to want to link against installed libraries in a given directory, LIBDIR, you must either use libtool, and specify the full pathname of the library, or use the `-LLIBDIR' flag during linking and do at least one of the following: - add LIBDIR to the `LD_LIBRARY_PATH' environment variable during execution - add LIBDIR to the `LD_RUN_PATH' environment variable during linking - use the `-Wl,-rpath -Wl,LIBDIR' linker flag - have your system administrator add LIBDIR to `/etc/ld.so.conf' See any operating system documentation about shared libraries for more information, such as the ld(1) and ld.so(8) manual pages. ---------------------------------------------------------------------- make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/neato_layout' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin/neato_layout' make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' make[4]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' make[4]: Nothing to be done for 'install-exec-am'. make[4]: Nothing to be done for 'install-data-am'. make[4]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' make[2]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz/plugin' make[2]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' make[3]: Entering directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' make[3]: Nothing to be done for 'install-exec-am'. /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man7' /usr/bin/install -c -m 644 graphviz.7 '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/man/man7' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /usr/bin/install -c -m 644 graphviz_version.h '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz' /bin/mkdir -p '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc' /usr/bin/install -c -m 644 AUTHORS COPYING ChangeLog NEWS cpl1.0.txt '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/share/graphviz/doc' make[3]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' make[2]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' make[1]: Leaving directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/graphviz' cp: -r not specified; omitting directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/graphviz' cp: -r not specified; omitting directory '/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/lib/pkgconfig' checking for grep that handles long lines and -e... /bin/grep checking for egrep... /bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking zlib.h usability... yes checking zlib.h presence... yes checking for zlib.h... yes checking for deflateBound in -lz... yes checking for stdbool.h that conforms to C99... yes checking for _Bool... yes checking for whether compiler has bool... yes configure: Using the following compilation and linking flags for Rgraphviz configure: PKG_CFLAGS= -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz configure: PKG_LIBS=libxdot.a libgvplugin_dot_layout.a libgvplugin_neato_layout.a libgvplugin_core.a libgvc.a libpathplan.a libgraph.a libcdt.a -lz configure: GVIZ_DEFS=-DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 configure: Compiling using Graphviz version: '2.28.0'. configure: Using bundled Graphviz: 'TRUE'. configure: creating ./config.status config.status: creating R/graphviz_build_version.R config.status: creating src/Makevars ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c LL_funcs.c -o LL_funcs.o LL_funcs.c: In function ‘Rgraphviz_agopenSimple’: LL_funcs.c:430:29: warning: variable ‘curNode’ set but not used [-Wunused-but-set-variable] 430 | Agnode_t *head, *tail, *curNode; | ^~~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c Rgraphviz.c -o Rgraphviz.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c RgraphvizInit.c -o RgraphvizInit.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c agopen.c -o agopen.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c agread.c -o agread.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c agwrite.c -o agwrite.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c bezier.c -o bezier.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c buildEdgeList.c -o buildEdgeList.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c buildNodeList.c -o buildNodeList.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c doLayout.c -o doLayout.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c graphvizVersion.c -o graphvizVersion.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -I/tmp/Rtmp2gzRMo/R.INSTALL10197575c1f25e/Rgraphviz/src/libunix/include/graphviz -DGRAPHVIZ_MAJOR=2 -DGRAPHVIZ_MINOR=28 -DGRAPHVIZ_STATIC -DHAVE_STDBOOL_H=1 -DHAVE_BOOL=1 -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o Rgraphviz.so LL_funcs.o Rgraphviz.o RgraphvizInit.o agopen.o agread.o agwrite.o bezier.o buildEdgeList.o buildNodeList.o doLayout.o graphvizVersion.o init.o libxdot.a libgvplugin_dot_layout.a libgvplugin_neato_layout.a libgvplugin_core.a libgvc.a libpathplan.a libgraph.a libcdt.a -lz -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-Rgraphviz/00new/Rgraphviz/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rgraphviz) * installing *source* package ‘supraHex’ ... ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (supraHex) * installing *source* package ‘gprofiler2’ ... ** package ‘gprofiler2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gprofiler2) * installing *source* package ‘BiocStyle’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (BiocStyle) * installing *source* package ‘smoof’ ... ** package ‘smoof’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c bbob_r_to_c_interface.c -o bbob_r_to_c_interface.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c benchmarks.c -o benchmarks.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c benchmarkshelper.c -o benchmarkshelper.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c cec09.c -o cec09.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c cec09_r_to_c_interface.c -o cec09_r_to_c_interface.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c dtlz.cpp -o dtlz.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.BK1.c -o mof.BK1.o g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c mof.ED.cpp -o mof.ED.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP1.c -o mof.MOP1.o In file included from mof.MOP1.c:7: mof.MOP1.c: In function ‘mof_MOP1’: mof.MOP1.c:10:33: warning: unused variable ‘n’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(rx, x, n); | ^ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP2.c -o mof.MOP2.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP3.c -o mof.MOP3.o In file included from mof.MOP3.c:7: mof.MOP3.c: In function ‘mof_MOP3’: mof.MOP3.c:10:33: warning: unused variable ‘n’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(rx, x, n); | ^ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP4.c -o mof.MOP4.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP5.c -o mof.MOP5.o In file included from mof.MOP5.c:7: mof.MOP5.c: In function ‘mof_MOP5’: mof.MOP5.c:10:33: warning: unused variable ‘n’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(rx, x, n); | ^ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP6.c -o mof.MOP6.o In file included from mof.MOP6.c:7: mof.MOP6.c: In function ‘mof_MOP6’: mof.MOP6.c:10:33: warning: unused variable ‘n’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(rx, x, n); | ^ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.MOP7.c -o mof.MOP7.o In file included from mof.MOP7.c:7: mof.MOP7.c: In function ‘mof_MOP7’: mof.MOP7.c:10:33: warning: unused variable ‘n’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(rx, x, n); | ^ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c mof.kursawe.cpp -o mof.kursawe.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c mof.viennet.c -o mof.viennet.o In file included from mof.viennet.c:7: mof.viennet.c: In function ‘mof_viennet’: mof.viennet.c:10:36: warning: unused variable ‘c_dim’ [-Wunused-variable] 10 | EXTRACT_NUMERIC_VECTOR(r_x, c_x, c_dim); | ^~~~~ macros.h:16:19: note: in definition of macro ‘EXTRACT_NUMERIC_VECTOR’ 16 | const R_len_t LENGTH = length(S_EXP); | ^~~~~~ g++ -std=gnu++14 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I'/opt/R-rc/lib/R/library/RcppArmadillo/include' -I/usr/local/include -fpic -Wall -pedantic -c mof.wfg.cpp -o mof.wfg.o g++ -std=gnu++14 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o smoof.so RcppExports.o bbob_r_to_c_interface.o benchmarks.o benchmarkshelper.o cec09.o cec09_r_to_c_interface.o dtlz.o mof.BK1.o mof.ED.o mof.MOP1.o mof.MOP2.o mof.MOP3.o mof.MOP4.o mof.MOP5.o mof.MOP6.o mof.MOP7.o mof.kursawe.o mof.viennet.o mof.wfg.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-smoof/00new/smoof/libs ** R ** inst ** byte-compile and prepare package for lazy loading Warning: no DISPLAY variable so Tk is not available ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location Warning: no DISPLAY variable so Tk is not available ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location Warning: no DISPLAY variable so Tk is not available ** testing if installed package keeps a record of temporary installation path * DONE (smoof) * installing *source* package ‘mlr’ ... ** package ‘mlr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c smote.c -o smote.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o mlr.so init.o smote.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-mlr/00new/mlr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (mlr) * installing *source* package ‘ggraph’ ... ** package ‘ggraph’ successfully unpacked and MD5 sums checked ** using staged installation ** libs g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c RcppExports.cpp -o RcppExports.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c circlePack.cpp -o circlePack.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c iciclePlot.cpp -o iciclePlot.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c lineCutter.cpp -o lineCutter.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c nodes.cpp -o nodes.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c pathAttr.cpp -o pathAttr.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c treemap.cpp -o treemap.o g++ -std=gnu++11 -I"/opt/R-rc/lib/R/include" -DNDEBUG -I'/opt/R-rc/lib/R/library/Rcpp/include' -I/usr/local/include -fpic -Wall -pedantic -c unrooted.cpp -o unrooted.o g++ -std=gnu++11 -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o ggraph.so RcppExports.o circlePack.o iciclePlot.o lineCutter.o nodes.o pathAttr.o treemap.o unrooted.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-ggraph/00new/ggraph/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggraph) * installing *source* package ‘dnet’ ... ** package ‘dnet’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (dnet) * installing *source* package ‘mlrMBO’ ... ** package ‘mlrMBO’ successfully unpacked and MD5 sums checked ** using staged installation ** libs gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c avl.c -o avl.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c hv.c -o hv.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c infill.c -o infill.o gcc -I"/opt/R-rc/lib/R/include" -DNDEBUG -I/usr/local/include -fpic -std=gnu99 -Wall -pedantic -c init.c -o init.o gcc -shared -L/opt/R-rc/lib/R/lib -L/usr/local/lib -o mlrMBO.so avl.o hv.o infill.o init.o -L/opt/R-rc/lib/R/lib -lR installing to /home/omnipath/local/R/00LOCK-mlrMBO/00new/mlrMBO/libs ** R ** inst ** byte-compile and prepare package for lazy loading Warning message: no DISPLAY variable so Tk is not available ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Warning: no DISPLAY variable so Tk is not available ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location Warning: no DISPLAY variable so Tk is not available ** testing if installed package keeps a record of temporary installation path * DONE (mlrMBO) The downloaded source packages are in ‘/tmp/RtmpCNFpLM/downloaded_packages’ [ Finished: 2022-05-04 15:13:09 ]