downloading reverse dependencies ‘AdverseEvents’, ‘allMT’, ‘AutoScore’, ‘BioPred’, ‘BRACE’, ‘clinpubr’, ‘clustcurv’, ‘coda4microbiome’, ‘CondiS’, ‘Coxmos’, ‘csmpv’, ‘E2E’, ‘FlexVarJM’, ‘GFDsurv’, ‘ggquickeda’, ‘hipecR’, ‘IDMIR’, ‘lilikoi’, ‘LongCART’, ‘MAICtools’, ‘MetabolicSurv’, ‘MicrobiomeSurv’, ‘NADA2’, ‘Oncofilterfast’, ‘OneSampleLogRankTest’, ‘PERSUADE’, ‘psc’, ‘rcssci’, ‘reconstructKM’, ‘SHELF’, ‘SMDIC’, ‘spect’, ‘SurvMetrics’, ‘tinyarray’, ‘autoReg’, ‘BCClong’, ‘bpcp’, ‘calibmsm’, ‘canvasXpress’, ‘DTEBOP2’, ‘expertsurv’, ‘finalfit’, ‘flexsurv’, ‘FRESA.CAD’, ‘GPTCM’, ‘iClusterVB’, ‘injurytools’, ‘maicplus’, ‘multipleOutcomes’, ‘nphRCT’, ‘PatientLevelPrediction’, ‘pencal’, ‘QTOCen’, ‘reporter’, ‘simstudy’, ‘smdi’, ‘survextrap’, ‘survParamSim’, ‘TrialSimulator’, ‘UCSCXenaShiny’, ‘VirtualPop’, ‘WARDEN’ trying URL 'file:///data/Repositories/CRAN/src/contrib/AdverseEvents_0.0.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/allMT_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/AutoScore_1.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/BioPred_1.0.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/BRACE_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/clinpubr_1.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/clustcurv_3.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/coda4microbiome_0.2.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/CondiS_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Coxmos_1.1.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/csmpv_1.0.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/E2E_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/FlexVarJM_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/GFDsurv_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/ggquickeda_0.3.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/hipecR_2.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/IDMIR_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/lilikoi_2.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/LongCART_3.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/MAICtools_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/MetabolicSurv_1.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/MicrobiomeSurv_0.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/NADA2_2.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/Oncofilterfast_1.0.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/OneSampleLogRankTest_0.9.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/PERSUADE_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/psc_2.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/rcssci_0.4.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/reconstructKM_0.4.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SHELF_1.12.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SMDIC_0.1.6.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/spect_1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/SurvMetrics_0.5.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/tinyarray_2.4.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/autoReg_0.3.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/BCClong_1.0.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/bpcp_1.5.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/calibmsm_1.1.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/canvasXpress_1.59.5.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/DTEBOP2_1.0.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/expertsurv_1.4.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/finalfit_1.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/flexsurv_2.3.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/FRESA.CAD_3.4.8.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/GPTCM_1.1.3.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/iClusterVB_0.1.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/injurytools_2.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/maicplus_0.1.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/multipleOutcomes_0.4.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/nphRCT_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/PatientLevelPrediction_6.5.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/pencal_2.3.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/QTOCen_0.1.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/reporter_1.4.6.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/simstudy_0.9.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/smdi_0.3.2.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/survextrap_1.0.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/survParamSim_0.1.7.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/TrialSimulator_1.10.1.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/UCSCXenaShiny_2.2.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/VirtualPop_2.1.0.tar.gz' trying URL 'file:///data/Repositories/CRAN/src/contrib/WARDEN_2.0.1.tar.gz' installing dependencies ‘AnnoProbe’, ‘asaur’, ‘BeSS’, ‘bestglm’, ‘canvasXpress.data’, ‘caretEnsemble’, ‘cenGAM’, ‘condSURV’, ‘Cyclops’, ‘dcurves’, ‘dlookr’, ‘Eunomia’, ‘exact2x2’, ‘exactci’, ‘ezcox’, ‘FeatureExtraction’, ‘finalfit’, ‘flexsurvcure’, ‘fmtr’, ‘forestmodel’, ‘forestploter’, ‘funkyheatmap’, ‘ggpattern’, ‘ggpubr’, ‘ggstance’, ‘ggstatsplot’, ‘gMCPLite’, ‘Gmedian’, ‘graphicalMCP’, ‘hedgehog’, ‘HMDHFDplus’, ‘Hotelling’, ‘iBST’, ‘invGauss’, ‘IterativeHardThresholding’, ‘JM’, ‘joineRML’, ‘joint.Cox’, ‘katex’, ‘lcmm’, ‘libr’, ‘logr’, ‘M3C’, ‘maftools’, ‘miCoPTCM’, ‘microbiome’, ‘mixAK’, ‘momentfit’, ‘moonBook’, ‘mRMRe’, ‘npregfast’, ‘nsROC’, ‘OhdsiShinyAppBuilder’, ‘onewaytests’, ‘org.Rn.eg.db’, ‘PairedData’, ‘pathview’, ‘perm’, ‘plsRcox’, ‘PropCIs’, ‘ptmixed’, ‘quantoptr’, ‘RColorConesa’, ‘RCy3’, ‘reconstructKM’, ‘ResourceSelection’, ‘ResultModelManager’, ‘risksetROC’, ‘rpact’, ‘samr’, ‘scoring’, ‘sft’, ‘shapviz’, ‘SHELF’, ‘simdata’, ‘simsurv’, ‘smd’, ‘smoothROCtime’, ‘sn’, ‘superpc’, ‘survAUC’, ‘survcomp’, ‘survey’, ‘survminer’, ‘survRM2adapt’, ‘tidycmprsk’, ‘UCSCXenaTools’, ‘VarSelLCM’, ‘whitening’ also installing the dependencies ‘cqn’, ‘gggenes’, ‘plsRglm’, ‘KEGGgraph’, ‘IRkernel’, ‘GSA’, ‘gridpattern’, ‘CommonDataModel’, ‘tweeDEseq’, ‘ggside’, ‘statsExpressions’ begin installing package ‘gggenes’ begin installing package ‘cqn’ begin installing package ‘plsRglm’ begin installing package ‘KEGGgraph’ begin installing package ‘IRkernel’ begin installing package ‘GSA’ begin installing package ‘gridpattern’ begin installing package ‘CommonDataModel’ begin installing package ‘ggside’ begin installing package ‘statsExpressions’ begin installing package ‘survAUC’ begin installing package ‘PropCIs’ begin installing package ‘onewaytests’ begin installing package ‘forestploter’ begin installing package ‘dcurves’ begin installing package ‘ResourceSelection’ begin installing package ‘Gmedian’ begin installing package ‘npregfast’ begin installing package ‘survcomp’ begin installing package ‘nsROC’ begin installing package ‘RColorConesa’ begin installing package ‘risksetROC’ begin installing package ‘smoothROCtime’ begin installing package ‘forestmodel’ begin installing package ‘lcmm’ begin installing package ‘condSURV’ begin installing package ‘ggstance’ begin installing package ‘dlookr’ * installing *source* package ‘PropCIs’ ... ** this is package ‘PropCIs’ version ‘0.3-0’ ** package ‘PropCIs’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PropCIs) begin installing package ‘M3C’ * installing *source* package ‘GSA’ ... ** this is package ‘GSA’ version ‘1.03.3’ ** package ‘GSA’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (GSA) begin installing package ‘superpc’ * installing *source* package ‘IRkernel’ ... ** this is package ‘IRkernel’ version ‘1.3.2’ ** package ‘IRkernel’ 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 (IRkernel) begin installing package ‘microbiome’ * installing *source* package ‘forestploter’ ... ** this is package ‘forestploter’ version ‘1.1.3’ ** package ‘forestploter’ 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 (forestploter) begin installing package ‘perm’ * installing *source* package ‘RColorConesa’ ... ** this is package ‘RColorConesa’ version ‘1.0.0’ ** package ‘RColorConesa’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (RColorConesa) begin installing package ‘cenGAM’ * installing *source* package ‘gggenes’ ... ** this is package ‘gggenes’ version ‘0.6.0’ ** package ‘gggenes’ 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 (gggenes) begin installing package ‘bestglm’ * installing *source* package ‘statsExpressions’ ... ** this is package ‘statsExpressions’ version ‘1.7.3’ ** package ‘statsExpressions’ 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 (statsExpressions) begin installing package ‘flexsurvcure’ * installing *source* package ‘risksetROC’ ... ** this is package ‘risksetROC’ version ‘1.0.4.1’ ** package ‘risksetROC’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** 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 (risksetROC) begin installing package ‘sft’ * installing *source* package ‘smoothROCtime’ ... ** this is package ‘smoothROCtime’ version ‘0.1.1’ ** package ‘smoothROCtime’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (smoothROCtime) begin installing package ‘maftools’ * installing *source* package ‘ggstance’ ... ** this is package ‘ggstance’ version ‘0.3.7’ ** package ‘ggstance’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggstance) begin installing package ‘caretEnsemble’ * installing *source* package ‘ResourceSelection’ ... ** this is package ‘ResourceSelection’ version ‘0.3-6’ ** package ‘ResourceSelection’ 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 ** 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 (ResourceSelection) begin installing package ‘org.Rn.eg.db’ * installing *source* package ‘CommonDataModel’ ... ** this is package ‘CommonDataModel’ version ‘1.0.1’ ** package ‘CommonDataModel’ 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 (CommonDataModel) begin installing package ‘moonBook’ * installing *source* package ‘gridpattern’ ... ** this is package ‘gridpattern’ version ‘1.3.1’ ** package ‘gridpattern’ 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 (gridpattern) begin installing package ‘tidycmprsk’ * installing *source* package ‘perm’ ... ** this is package ‘perm’ version ‘1.0-0.4’ ** package ‘perm’ 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 (perm) begin installing package ‘finalfit’ * installing *source* package ‘cqn’ ... ** this is package ‘cqn’ version ‘1.56.0’ ** package ‘cqn’ 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 ** 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 (cqn) begin installing package ‘asaur’ * installing *source* package ‘forestmodel’ ... ** this is package ‘forestmodel’ version ‘0.6.2’ ** package ‘forestmodel’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (forestmodel) begin installing package ‘PairedData’ * installing *source* package ‘survAUC’ ... ** this is package ‘survAUC’ version ‘1.4-0’ ** package ‘survAUC’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpv1eAIK/R.INSTALL1b1f31c186a0b/survAUC/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_survAUC.c -o R_init_survAUC.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_Cham_Diao.c -o survAUC_Cham_Diao.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_HZ.c -o survAUC_HZ.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_Hung_Chiang.c -o survAUC_Hung_Chiang.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_SongZhou.c -o survAUC_SongZhou.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survAUC_UNO.c -o survAUC_UNO.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c surv_measures.c -o surv_measures.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c utils.c -o utils.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o survAUC.so R_init_survAUC.o survAUC_Cham_Diao.o survAUC_HZ.o survAUC_Hung_Chiang.o survAUC_SongZhou.o survAUC_UNO.o surv_measures.o utils.o -llapack -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpv1eAIK/R.INSTALL1b1f31c186a0b/survAUC/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-survAUC/00new/survAUC/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 (survAUC) begin installing package ‘mixAK’ * installing *source* package ‘asaur’ ... ** this is package ‘asaur’ version ‘0.50’ ** package ‘asaur’ successfully unpacked and MD5 sums checked ** using staged installation ** data *** moving datasets to lazyload DB ** 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 (asaur) begin installing package ‘joineRML’ * installing *source* package ‘KEGGgraph’ ... ** this is package ‘KEGGgraph’ version ‘1.70.0’ ** package ‘KEGGgraph’ 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 ** 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 (KEGGgraph) begin installing package ‘exactci’ * installing *source* package ‘onewaytests’ ... ** this is package ‘onewaytests’ version ‘3.1’ ** package ‘onewaytests’ 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 (onewaytests) begin installing package ‘canvasXpress.data’ * installing *source* package ‘nsROC’ ... ** this is package ‘nsROC’ version ‘1.1’ ** package ‘nsROC’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** 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 (nsROC) begin installing package ‘survRM2adapt’ * installing *source* package ‘superpc’ ... ** this is package ‘superpc’ version ‘1.12’ ** package ‘superpc’ 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 (superpc) begin installing package ‘mRMRe’ * installing *source* package ‘dcurves’ ... ** this is package ‘dcurves’ version ‘0.5.1’ ** package ‘dcurves’ 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 (dcurves) begin installing package ‘BeSS’ * installing *source* package ‘condSURV’ ... ** this is package ‘condSURV’ version ‘2.0.4’ ** package ‘condSURV’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpB6piPM/R.INSTALL1b1f65576247ae/condSURV/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c condSURV_init.c -o condSURV_init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c survivalBIV.c -o survivalBIV.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o condSURV.so condSURV_init.o survivalBIV.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpB6piPM/R.INSTALL1b1f65576247ae/condSURV/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-condSURV/00new/condSURV/libs ** R ** data *** moving datasets to lazyload DB ** 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 (condSURV) begin installing package ‘whitening’ * installing *source* package ‘exactci’ ... ** this is package ‘exactci’ version ‘1.4-5’ ** package ‘exactci’ 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 (exactci) begin installing package ‘miCoPTCM’ * installing *source* package ‘moonBook’ ... ** this is package ‘moonBook’ version ‘0.3.1’ ** package ‘moonBook’ 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 (moonBook) begin installing package ‘VarSelLCM’ * installing *source* package ‘canvasXpress.data’ ... ** this is package ‘canvasXpress.data’ version ‘1.34.2’ ** package ‘canvasXpress.data’ 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 ** 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 (canvasXpress.data) begin installing package ‘momentfit’ * installing *source* package ‘ggside’ ... ** this is package ‘ggside’ version ‘0.4.1’ ** package ‘ggside’ 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 (ggside) begin installing package ‘iBST’ * installing *source* package ‘whitening’ ... ** this is package ‘whitening’ version ‘1.4.0’ ** package ‘whitening’ 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 (whitening) begin installing package ‘invGauss’ * installing *source* package ‘M3C’ ... ** this is package ‘M3C’ version ‘1.32.0’ ** package ‘M3C’ 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 ** 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 (M3C) begin installing package ‘JM’ * installing *source* package ‘bestglm’ ... ** this is package ‘bestglm’ version ‘0.37.3’ ** package ‘bestglm’ 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 ** 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 (bestglm) begin installing package ‘joint.Cox’ * installing *source* package ‘PairedData’ ... ** this is package ‘PairedData’ version ‘1.1.1’ ** package ‘PairedData’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** byte-compile and prepare package for lazy loading Creating a new generic function for ‘summary’ in package ‘PairedData’ ** 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 (PairedData) begin installing package ‘Cyclops’ * installing *source* package ‘survcomp’ ... ** this is package ‘survcomp’ version ‘1.60.1’ ** package ‘survcomp’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-13) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp65zvd6/R.INSTALL1b1f515587d5d7/survcomp/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c concordance.index.c -o concordance.index.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c foo_mrmr_ensemble_surv.cpp -o foo_mrmr_ensemble_surv.o foo_mrmr_ensemble_surv.cpp: In function ‘double get_correlation_ensemble(double*, int*, int, int, int)’: foo_mrmr_ensemble_surv.cpp:12:33: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 12 | for( unsigned int i=0; i< size; ++i ) { | ~^~~~~~ foo_mrmr_ensemble_surv.cpp:22:33: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 22 | for( unsigned int i=0; i< size; ++i ) { | ~^~~~~~ foo_mrmr_ensemble_surv.cpp: In function ‘double returnConcordanceIndexC(int*, int*, double*, int*, double*, int*, double*, int*, int*, int*, int, int*)’: foo_mrmr_ensemble_surv.cpp:40:16: warning: ISO C++ forbids variable length array ‘res_ch’ [-Wvla] 40 | double res_ch[lenStrat]; | ^~~~~~ foo_mrmr_ensemble_surv.cpp:41:16: warning: ISO C++ forbids variable length array ‘res_dh’ [-Wvla] 41 | double res_dh[lenStrat]; | ^~~~~~ foo_mrmr_ensemble_surv.cpp:48:21: warning: ISO C++ forbids variable length array ‘ixs’ [-Wvla] 48 | int ixs[lenStrat]; | ^~~ foo_mrmr_ensemble_surv.cpp:64:24: warning: ISO C++ forbids variable length array ‘xs’ [-Wvla] 64 | double xs[Ns]; | ^~ foo_mrmr_ensemble_surv.cpp:72:21: warning: ISO C++ forbids variable length array ‘cls’ [-Wvla] 72 | int cls[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:80:24: warning: ISO C++ forbids variable length array ‘sts’ [-Wvla] 80 | double sts[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:88:21: warning: ISO C++ forbids variable length array ‘ses’ [-Wvla] 88 | int ses[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:96:24: warning: ISO C++ forbids variable length array ‘weightss’ [-Wvla] 96 | double weightss[Ns]; | ^~~~~~~~ foo_mrmr_ensemble_surv.cpp:104:24: warning: ISO C++ forbids variable length array ‘chs’ [-Wvla] 104 | double chs[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:105:24: warning: ISO C++ forbids variable length array ‘dhs’ [-Wvla] 105 | double dhs[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:106:24: warning: ISO C++ forbids variable length array ‘uhs’ [-Wvla] 106 | double uhs[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:107:24: warning: ISO C++ forbids variable length array ‘rphs’ [-Wvla] 107 | double rphs[Ns]; | ^~~~ foo_mrmr_ensemble_surv.cpp:106:24: warning: variable ‘uhs’ set but not used [-Wunused-but-set-variable] 106 | double uhs[Ns]; | ^~~ foo_mrmr_ensemble_surv.cpp:107:24: warning: variable ‘rphs’ set but not used [-Wunused-but-set-variable] 107 | double rphs[Ns]; | ^~~~ foo_mrmr_ensemble_surv.cpp: In function ‘void build_mim_cIndex_subset(double*, double*, int*, int, int, int*, int, int*, int*, int*, double*, int*, double*, int*, int*, int*, int*)’: foo_mrmr_ensemble_surv.cpp:202:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 202 | for(unsigned int i=0; i< size_subset; ++i){ | ~^~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:203:40: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 203 | for(unsigned int j=0; j< (nvar-1); ++j){ | ~^~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:214:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 214 | for(unsigned int i=0; i< nvar-1; ++i){ | ~^~~~~~~~ foo_mrmr_ensemble_surv.cpp:216:42: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 216 | for(unsigned int j=i+1; j< nvar-1; ++j){ | ~^~~~~~~~ foo_mrmr_ensemble_surv.cpp:191:24: warning: unused variable ‘msurv_x’ [-Wunused-variable] 191 | int *namat_x, *msurv_x, *ustrat_x, *cl2_x, *se_x, *strat_x; | ^~~~~~~ foo_mrmr_ensemble_surv.cpp:191:34: warning: unused variable ‘ustrat_x’ [-Wunused-variable] 191 | int *namat_x, *msurv_x, *ustrat_x, *cl2_x, *se_x, *strat_x; | ^~~~~~~~ foo_mrmr_ensemble_surv.cpp: In function ‘void bootstrap_tree(tree&, tree&, double*, int*, int, int, int, int*, int*, int*, double*, int*, double*, int*, int*, int*, int, int*)’: foo_mrmr_ensemble_surv.cpp:351:21: warning: unused variable ‘cnt_back’ [-Wunused-variable] 351 | int cnt_back=cnt2; | ^~~~~~~~ foo_mrmr_ensemble_surv.cpp:286:14: warning: unused variable ‘nsub’ [-Wunused-variable] 286 | int nsub, *prev_sel,nsamples_boot=nsamples,*to_remove; | ^~~~ foo_mrmr_ensemble_surv.cpp: In function ‘void bootstrap_mrmr(double&, double&, double*, int*, int, int, int, int, int, int, int, int*, int*, int*, int*, double*, int*, double*, int*, int*, int*, int, int*)’: foo_mrmr_ensemble_surv.cpp:393:32: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 393 | for(unsigned int k=0; k< rep_boot; ++k){ | ~^~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:396:39: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 396 | for(unsigned int i=1;i<= size_boot;++i){ | ~^~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:400:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 400 | for( unsigned int i=0; i< size ; ++i ){ | ~^~~~~~ foo_mrmr_ensemble_surv.cpp:401:49: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 401 | for( unsigned int j=0; j< size ; ++j ){ | ~^~~~~~ foo_mrmr_ensemble_surv.cpp:412:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 412 | for(unsigned int i=0;i< rep_boot;++i){ | ~^~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:419:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 419 | for(unsigned int i=0;i< rep_boot;++i){ | ~^~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:387:17: warning: unused variable ‘mim’ [-Wunused-variable] 387 | double *mim, *boot_val, *mat_info; | ^~~ foo_mrmr_ensemble_surv.cpp: In function ‘double mrnet_onegene(double*, int, int, int*, int, int)’: foo_mrmr_ensemble_surv.cpp:448:39: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 448 | for(unsigned int j=0;j< nbvar; j++){ | ~^~~~~~~ foo_mrmr_ensemble_surv.cpp:437:22: warning: variable ‘jmax’ set but not used [-Wunused-but-set-variable] 437 | unsigned int jmax; | ^~~~ foo_mrmr_ensemble_surv.cpp:439:16: warning: unused variable ‘max_val’ [-Wunused-variable] 439 | double max_val=-1000; | ^~~~~~~ foo_mrmr_ensemble_surv.cpp: In function ‘int verify_equivalentset_nparents(tree&, tree::pre_order_iterator, tree::pre_order_iterator, tree&, int)’: foo_mrmr_ensemble_surv.cpp:473:13: warning: ISO C++ forbids variable length array ‘vec_old’ [-Wvla] 473 | int vec_old[depth+1]; | ^~~~~~~ foo_mrmr_ensemble_surv.cpp:474:13: warning: ISO C++ forbids variable length array ‘mat_res’ [-Wvla] 474 | int mat_res [power((maxnsol+1),(depth))][depth+2]; | ^~~~~~~ foo_mrmr_ensemble_surv.cpp:474:13: warning: ISO C++ forbids variable length array ‘mat_res’ [-Wvla] foo_mrmr_ensemble_surv.cpp:476:13: warning: ISO C++ forbids variable length array ‘to_remove’ [-Wvla] 476 | int to_remove[number_leafs]; | ^~~~~~~~~ foo_mrmr_ensemble_surv.cpp:467:14: warning: unused variable ‘found’ [-Wunused-variable] 467 | bool found=false; | ^~~~~ foo_mrmr_ensemble_surv.cpp: In function ‘void mrmr_ensemble_one_gene_remove(tree&, tree::pre_order_iterator, double*, int*, int, int, int, int, int, int, double, int*, int*, int*, double*, int*, double*, int*, int*, int*, int, int*)’: foo_mrmr_ensemble_surv.cpp:593:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 593 | for(unsigned int i=1;i<= nsamples;++i){ | ~^~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:596:33: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 596 | for( unsigned int i=0; i< n; ++i ){ | ~^~~ foo_mrmr_ensemble_surv.cpp:597:41: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 597 | for( unsigned int j=0; j< n; ++j ){ | ~^~~ foo_mrmr_ensemble_surv.cpp:604:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 604 | for(unsigned int k=0;k< max_elements ;++k){ | ~^~~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:646:48: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 646 | for (unsigned int i=0;i<=max_depth;++i){ | ~^~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:654:47: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 654 | for(unsigned int k=0;k< n;++k){ | ~^~~ foo_mrmr_ensemble_surv.cpp:657:47: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare] 657 | for(unsigned int k=0;k<=max(res_tmp_new.depth(it_local),max_depth) ;++k){ | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:661:47: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 661 | for(unsigned int k=0;k< n;++k){ | ~^~~ foo_mrmr_ensemble_surv.cpp:578:31: warning: unused variable ‘nsamples_boot’ [-Wunused-variable] 578 | int *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; | ^~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:578:55: warning: unused variable ‘tmp_val_max_ind’ [-Wunused-variable] 578 | int *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; | ^~~~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:578:73: warning: unused variable ‘prev_sel_tmp’ [-Wunused-variable] 578 | int *nsub, *prev_sel,nsamples_boot=nsamples, tmp_val_max_ind, *prev_sel_tmp,*vec_sol_local,ndelete; | ^~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp:579:28: warning: unused variable ‘vec_sort’ [-Wunused-variable] 579 | double *vec_mean, *vec_sort, *vec_sd, *vec_local_max_mean, *vec_local_max_sd,tmp_val_max, *mrmr_vec_sort,*vec_sol_local_mrmr; | ^~~~~~~~ foo_mrmr_ensemble_surv.cpp:579:70: warning: variable ‘vec_local_max_sd’ set but not used [-Wunused-but-set-variable] 579 | double *vec_mean, *vec_sort, *vec_sd, *vec_local_max_mean, *vec_local_max_sd,tmp_val_max, *mrmr_vec_sort,*vec_sol_local_mrmr; | ^~~~~~~~~~~~~~~~ foo_mrmr_ensemble_surv.cpp: In function ‘SEXPREC* mrmr_cIndex_ensemble_remove(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)’: foo_mrmr_ensemble_surv.cpp:786:31: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘const int’ [-Wsign-compare] 786 | for(unsigned int i=0;i< *npredn;++i){ | ~^~~~~~~~~ foo_mrmr_ensemble_surv.cpp:820:47: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 820 | for(unsigned int k=0;k0)&&(res[i+1]<=*tol)&&(res[i+1] Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/BeSS_RcppExports.h:28:107: required from here 28 | inline List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/BeSS_RcppExports.h:28:107: required from here 28 | inline List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ ../inst/include/BeSS_RcppExports.h:28:107: required from here 28 | inline List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c bess.cpp -o bess.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from bess.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ bess.cpp:10:96: required from here 10 | List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ bess.cpp:10:96: required from here 10 | List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ bess.cpp:10:96: required from here 10 | List bess_lm(Eigen::MatrixXd X, Eigen::VectorXd y, int T0, int max_steps, Eigen::VectorXd beta0) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ bess.cpp:22:46: required from here 22 | Eigen::MatrixXd X_A = Eigen::MatrixXd::Zero(n, T0); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ bess.cpp:24:49: required from here 24 | Eigen::VectorXd beta_A = Eigen::VectorXd::Zero(T0); | ~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ bess.cpp:27:33: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:27:41: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:27:41: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:27:45: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:27:57: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:27:57: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:28:27: required from here 28 | Eigen::VectorXd bd=beta+d; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:29:17: required from here 29 | bd=bd.cwiseAbs(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ bess.cpp:38:14: required from here 38 | X_A.col(mm)=X.col(A[mm]); | ~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR >’ 440 | RowVectorType m_temp; | ^~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ bess.cpp:43:43: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ bess.cpp:66:31: required from here 66 | double mse=(y-X*beta).array().square().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:66:40: required from here 66 | double mse=(y-X*beta).array().square().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:91:38: required from here 91 | Eigen::VectorXd xbeta_exp = X*beta+coef; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ bess.cpp:96:30: required from here 96 | xbeta_exp = xbeta_exp.array().exp(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:96:36: required from here 96 | xbeta_exp = xbeta_exp.array().exp(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ bess.cpp:97:63: required from here 97 | Eigen::VectorXd pr = xbeta_exp.array()/(xbeta_exp+one).array(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:97:64: required from here 97 | Eigen::VectorXd pr = xbeta_exp.array()/(xbeta_exp+one).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ bess.cpp:98:32: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:98:33: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:98:39: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:98:55: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:98:64: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ bess.cpp:100:12: required from here 100 | X=X.array().square(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:100:21: required from here 100 | X=X.array().square(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:101:53: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:101:75: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:101:84: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:102:38: required from here 102 | Eigen::VectorXd d=-l1.cwiseQuotient(l2); | ~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:102:41: required from here 102 | Eigen::VectorXd d=-l1.cwiseQuotient(l2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:108:25: required from here 108 | bd = (beta+d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ bess.cpp:108:53: required from here 108 | bd = (beta+d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:108:40: required from here 108 | bd = (beta+d).cwiseAbs().cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:148:43: required from here 148 | theta=weights.array()*theta.array().exp(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:154:37: required from here 154 | xtheta.col(k)=theta.cwiseProduct(X.col(k)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:157:41: required from here 157 | x2theta.col(k)=X.col(k).cwiseProduct(xtheta.col(k)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ bess.cpp:160:15: required from here 160 | xtheta.row(k)=xtheta.row(k+1)+xtheta.row(k); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:160:47: required from here 160 | xtheta.row(k)=xtheta.row(k+1)+xtheta.row(k); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:166:46: required from here 166 | xtheta.col(k)=xtheta.col(k).cwiseQuotient(cum_theta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:171:57: required from here 171 | x2theta=x2theta.array()-xtheta.array().square().array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:172:33: required from here 172 | xtheta=X.array()-xtheta.array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:179:24: required from here 179 | l1=-xtheta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ bess.cpp:180:24: required from here 180 | l2=x2theta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ bess.cpp:189:21: required from here 189 | bd=bd.cwiseProduct(l2.cwiseSqrt()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:21: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:549:27: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:66:46: required from here 66 | double mse=(y-X*beta).array().square().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:175:54: required from here 175 | xtheta.row(status(k)-1)=Eigen::VectorXd::Zero(p); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 128 | Block bottom(derived(), 1, 0, rows()-1, cols()); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Matrix, const Eigen::Block, -1, 1, true> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Matrix, const Eigen::Block, -1, 1, true> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Matrix, const Eigen::Block, -1, 1, true> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:154:46: required from here 154 | xtheta.col(k)=theta.cwiseProduct(X.col(k)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:160:47: required from here 160 | xtheta.row(k)=xtheta.row(k+1)+xtheta.row(k); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: 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]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 79 | Scalar c0 = coeff(0); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, 1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:606:103: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 306 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: 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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: 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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: 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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 346 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 347 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 348 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 350 | RhsMapper(actualRhsPtr, 1), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~ 351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 352 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::internal::generic_product_impl, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: 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::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: 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 > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: 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>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:143:26: required from here 143 | Eigen::VectorXd theta=X*beta; | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: 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>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:98:34: required from here 98 | Eigen::VectorXd l1=-X.adjoint()*((y-pr).cwiseProduct(weights)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:101:35: required from here 101 | Eigen::VectorXd l2=(X.adjoint())*((pr.cwiseProduct(one-pr)).cwiseProduct(weights)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:179:24: required from here 179 | l1=-xtheta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:180:24: required from here 180 | l2=x2theta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 16, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 16, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 16, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ bess.cpp:43:35: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:92:29: required from ‘struct Eigen::internal::product_triangular_matrix_matrix’ 92 | SmallPanelWidth = 2 * EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:179:24: required from here 179 | l1=-xtheta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:180:24: required from here 180 | l2=x2theta.adjoint()*weights; | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: 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>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: 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]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: 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]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: 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]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:157:103: 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]’ 157 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 175 | pack_rhs(blockB, rhs.getSubMapper(actual_k2,0), actual_kc, cols); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, 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; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 205 | gebp_kernel(res.getSubMapper(startBlock, 0), blockA, blockB, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 206 | actualPanelWidth, actualPanelWidth, cols, alpha, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 207 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 357 | { scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ bess.cpp:27:48: required from here 27 | Eigen::VectorXd d=(X.transpose()*(y-X*beta)) /double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 203 | pack_lhs(blockA, LhsMapper(triangularBuffer.data(), triangularBuffer.outerStride()), actualPanelWidth, actualPanelWidth); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: 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; Scalar = double]’ 769 | triangular_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 770 | ::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: 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> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = 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> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: 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> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ bess.cpp:43:45: required from here 43 | beta_A=X_A.colPivHouseholderQr().solve(y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c group.cpp -o group.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from group.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ group.cpp:17:41: required from here 17 | Eigen::MatrixXd EigenR(Eigen::MatrixXd X){ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ group.cpp:17:41: required from here 17 | Eigen::MatrixXd EigenR(Eigen::MatrixXd X){ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:229:22: required from ‘class Eigen::RealSchur >’ 229 | ColumnVectorType m_workspaceVector; | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:277:16: required from ‘class Eigen::HessenbergDecomposition >’ 277 | VectorType m_temp; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:230:41: required from ‘class Eigen::RealSchur >’ 230 | HessenbergDecomposition m_hess; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:316:27: required from ‘class Eigen::EigenSolver >’ 316 | RealSchur m_realSchur; | ^~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:21:46: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:21:47: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ group.cpp:21:64: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:21:65: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ group.cpp:28:36: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:28:44: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:28:44: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:28:49: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:28:61: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:28:61: required from here 28 | Eigen::VectorXd d0 = (X.transpose()*(y-X*beta0)) /double(n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ group.cpp:29:47: required from here 29 | Eigen::VectorXd beta = Eigen::VectorXd::Zero(p); | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ group.cpp:46:22: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:46:106: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:53:35: required from here 53 | Eigen::VectorXd bd = (betabar+dbar).array().abs(); | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ group.cpp:53:46: required from here 53 | Eigen::VectorXd bd = (betabar+dbar).array().abs(); | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:53:52: required from here 53 | Eigen::VectorXd bd = (betabar+dbar).array().abs(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ group.cpp:83:14: required from here 83 | X_B.col(i) = X.col(B(i)); | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ group.cpp:96:23: required from here 96 | mse=(y-X*beta).array().square().sum()/double(n); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:96:32: required from here 96 | mse=(y-X*beta).array().square().sum()/double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:117:33: required from here 117 | Eigen::VectorXd eta = X*beta0+coef; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ group.cpp:122:36: required from here 122 | Eigen::VectorXd exppr = eta.array().exp(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:122:42: required from here 122 | Eigen::VectorXd exppr = eta.array().exp(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:123:56: required from here 123 | Eigen::VectorXd pr = exppr.array()/(exppr+one).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:124:42: required from here 124 | Eigen::VectorXd g = weights.array()*(y-pr).array(); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ group.cpp:124:51: required from here 124 | Eigen::VectorXd g = weights.array()*(y-pr).array(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:124:52: required from here 124 | Eigen::VectorXd g = weights.array()*(y-pr).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:125:48: required from here 125 | Eigen::VectorXd h = weights.array()*pr.array()*(one-pr).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:125:65: required from here 125 | Eigen::VectorXd h = weights.array()*pr.array()*(one-pr).array(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:126:36: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ 103 | template class Block | ^~~~~ group.cpp:133:37: required from here 133 | Eigen::MatrixXd XG =X.middleCols(index(i)-1, index(i+1)-index(i)); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:134:55: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:134:57: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:135:41: required from here 135 | Eigen::MatrixXd phiG = -EigenR(XGbar); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ group.cpp:136:89: required from here 136 | Eigen::MatrixXd invphiG = phiG.colPivHouseholderQr().solve(Eigen::MatrixXd::Identity(index(i+1)-index(i),index(i+1)-index(i))); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ group.cpp:136:63: required from here 136 | Eigen::MatrixXd invphiG = phiG.colPivHouseholderQr().solve(Eigen::MatrixXd::Identity(index(i+1)-index(i),index(i+1)-index(i))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:195:45: required from here 195 | theta = weights.array()*theta.array().exp(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, -1>’ 61 | template class Replicate | ^~~~~~~~~ group.cpp:208:28: required from here 208 | h = -cum_theta3.replicate(1, n); | ~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Replicate, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Replicate, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Replicate, -1, -1> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ group.cpp:208:33: required from here 208 | h = -cum_theta3.replicate(1, n); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, -1, -1>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, -1, -1> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:209:21: required from here 209 | h = h.cwiseProduct(theta.replicate(1, n)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1> >’ 52 | template class Transpose | ^~~~~~~~~ group.cpp:210:51: required from here 210 | h = h.cwiseProduct(theta.replicate(1, n).adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, -1, -1> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, -1, -1> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:210:21: required from here 210 | h = h.cwiseProduct(theta.replicate(1, n).adjoint()); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:214:46: required from here 214 | Eigen::VectorXd g = cum_theta2.cwiseProduct(theta) - weights.cwiseProduct(status); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:214:83: required from here 214 | Eigen::VectorXd g = cum_theta2.cwiseProduct(theta) - weights.cwiseProduct(status); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ group.cpp:215:13: required from here 215 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Diagonal, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ group.cpp:215:62: required from here 215 | h.diagonal() = cum_theta2.cwiseProduct(theta) + h.diagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:224:42: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ group.cpp:224:44: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:329:37: required from ‘MatrixType Eigen::EigenSolver<_MatrixType>::pseudoEigenvalueMatrix() const [with _MatrixType = Eigen::Matrix]’ 329 | MatrixType matD = MatrixType::Zero(n,n); | ~~~~~~~~~~~~~~~~^~~~~ group.cpp:19:53: required from here 19 | Eigen::MatrixXd value = eig.pseudoEigenvalueMatrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 2, 2, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 2, 2, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 2, 2, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:336:31: required from ‘MatrixType Eigen::EigenSolver<_MatrixType>::pseudoEigenvalueMatrix() const [with _MatrixType = Eigen::Matrix]’ 336 | matD.template block<2,2>(i,i) << numext::real(m_eivalues.coeff(i)), numext::imag(m_eivalues.coeff(i)), | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ group.cpp:19:53: required from here 19 | Eigen::MatrixXd value = eig.pseudoEigenvalueMatrix(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:43: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:34: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ReturnByValue.h:50:34: required from ‘class Eigen::ReturnByValue > >’ 50 | template class ReturnByValue | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:339:38: required from ‘struct Eigen::internal::HessenbergDecompositionMatrixHReturnType >’ 339 | template struct HessenbergDecompositionMatrixHReturnType | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:39: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:23: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:34: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:100: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:76: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:598:25: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 598 | m_matT.block(i, n-1, size-i, 2) /= t; | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:45: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:59: 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]’ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:18: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:339:57: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 339 | Vector3s firstHouseholderVector = Vector3s::Zero(), shiftInfo; | ~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:96:38: required from here 96 | mse=(y-X*beta).array().square().sum()/double(n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:165:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 165 | Map::type> tmp(workspace,rows()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:166:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 166 | Block right(derived(), 0, 1, rows(), cols()-1); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 168 | tmp += this->col(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 127 | Map::type> tmp(workspace,cols()); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:68: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 3, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 3, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 3, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:512:37: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 512 | v = m_matT.template block<3,1>(k,k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 515 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:515:26: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 515 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:533:54: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 533 | Matrix v = m_matT.template block<2,1>(iu-1, iu-2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 535 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:535:24: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 535 | Matrix ess; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:468:106: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 468 | norm += m_matT.row(j).segment((std::max)(j-1,Index(0)), size-(std::max)(j-1,Index(0))).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:492:54: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 492 | Scalar r = m_matT.row(i).segment(l,n-l+1).dot(m_matT.col(n).segment(l, n-l+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 45 | VectorBlock::ret> essentialPart(derived(), 1, size()-1); | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase::ScalarWithConstIfNotLvalue& Eigen::MapBase::coeffRef(Eigen::Index) [with Derived = Eigen::Block, -1, 1, true>; ScalarWithConstIfNotLvalue = double; Eigen::Index = long int]’ 15 | EIGEN_STATIC_ASSERT((int(internal::evaluator::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \ | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:306:25: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 306 | matA.col(i).coeffRef(i+1) = beta; | ~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, true>, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 2, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::Matrix; Derived = Eigen::Matrix; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Matrix; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Block, -1, -1, true>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:46:106: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, true>, 1, -1, false>; VectorY = Eigen::Block, -1, -1, true>, 1, -1, false>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, true>; Eigen::Index = long int]’ 299 | internal::apply_rotation_in_the_plane(x, y, j); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:417:47: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 417 | m_matT.rightCols(size-iu+1).applyOnTheLeft(iu-1, iu, rot.adjoint()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, -1, -1, false>, -1, 1, true>; VectorY = Eigen::Block, -1, -1, false>, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Block, -1, -1, false>; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:418:41: required from ‘void Eigen::RealSchur<_MatrixType>::splitOffTwoRows(Index, bool, const Scalar&) [with _MatrixType = Eigen::Matrix; Index = long int; Scalar = double]’ 418 | m_matT.topRows(iu+1).applyOnTheRight(iu-1, iu, rot); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:332:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 332 | splitOffTwoRows(iu, computeU, exshift); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 2, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 2, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 2, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 2, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 2, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false>, 0>; Derived = Eigen::Block, 1, -1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 374 | this->visit(maxVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: 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]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 521 | RealScalar biggest_col_sq_norm = numext::abs2(m_colNormsUpdated.tail(cols-k).maxCoeff(&biggest_col_index)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:258:54: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 258 | Scalar scale = matrix.derived().cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: 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]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: 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]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:136:63: required from here 136 | Eigen::MatrixXd invphiG = phiG.colPivHouseholderQr().solve(Eigen::MatrixXd::Identity(index(i+1)-index(i),index(i+1)-index(i))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:190:28: required from here 190 | Eigen::VectorXd theta = X*beta0; | ~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, true>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, true>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, true>, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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, true>, -1, -1, false>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: 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>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:370:74: required from ‘typename MatrixType::Scalar Eigen::RealSchur<_MatrixType>::computeNormOfT() [with _MatrixType = Eigen::Matrix; typename MatrixType::Scalar = double]’ 370 | norm += m_matT.col(j).segment(0, (std::min)(size,j+2)).cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:309:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 309 | Scalar norm = computeNormOfT(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 2, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 2, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 2, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 2, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:516:22: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 516 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:536:20: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 536 | v.makeHouseholder(ess, tau, beta); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = const Eigen::Block >, -1, 1, false>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: 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::Matrix; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 511 | RealScalar threshold_helper = numext::abs2(m_colNormsUpdated.maxCoeff() * NumTraits::epsilon()) / RealScalar(rows); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: 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::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 130 | tmp += this->row(0); | ~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, -1, false>, 1, -1, false>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 81 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:507:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 507 | m_colNormsDirect.coeffRef(k) = m_qr.col(k).norm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; typename Eigen::internal::traits::Scalar = double]’ 110 | return numext::sqrt(squaredNorm()); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 567 | m_colNormsDirect.coeffRef(j) = m_qr.col(j).tail(rows - k - 1).norm(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: 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>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:190:28: required from here 190 | Eigen::VectorXd theta = X*beta0; | ~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:190:28: required from here 190 | Eigen::VectorXd theta = X*beta0; | ~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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, true>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, true>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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, true>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, true>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 2, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 2, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 2, 1, false>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:533:54: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 533 | Matrix v = m_matT.template block<2,1>(iu-1, iu-2); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, 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; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:46:106: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: 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; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 123 | *this *= Scalar(1)-tau; | ~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: 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 = 2; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:603:20: required from ‘void Eigen::ColPivHouseholderQR::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 601 | m_qr.topLeftCorner(nonzero_pivots, nonzero_pivots) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 602 | .template triangularView() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 603 | .solveInPlace(c.topRows(nonzero_pivots)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:136:63: required from here 136 | Eigen::MatrixXd invphiG = phiG.colPivHouseholderQr().solve(Eigen::MatrixXd::Identity(index(i+1)-index(i),index(i+1)-index(i))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 3, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, 3, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 3, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:512:9: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 512 | v = m_matT.template block<3,1>(k,k-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: 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 > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 46 | makeHouseholder(essentialPart, tau, beta); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 540 | m_qr.col(k).tail(rows-k).makeHouseholderInPlace(m_hCoeffs.coeffRef(k), beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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 >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:190:28: required from here 190 | Eigen::VectorXd theta = X*beta0; | ~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 2, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product >, Eigen::Block, -1, -1, false>, 2, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 2, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 2, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:526:76: required from ‘struct Eigen::internal::product_evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>, 4, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 526 | typedef typename internal::nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, false>, Eigen::Matrix, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, true>, Eigen::Block, -1, 1, true>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:615:21: required from ‘void Eigen::EigenSolver<_MatrixType>::doComputeEigenvectors() [with _MatrixType = Eigen::Matrix]’ 615 | m_tmp.noalias() = m_eivec.leftCols(j+1) * m_matT.col(j).segment(0, j+1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:447:7: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 447 | doComputeEigenvectors(); | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:46:106: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::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::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: 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>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: 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]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: 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]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, 3>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:402:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: 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> >, 1, 4>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:416:50: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:86:39: required from here 86 | Eigen::VectorXd d = (X.transpose()*(y-X_B*beta_B)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:126:35: required from here 126 | Eigen::VectorXd d0 = X.adjoint()*g; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 167 | tmp.noalias() = right * essential; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 883 | this->_set_noalias(other); | ~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:46:106: required from here 46 | betabar.segment(index(i)-1,index(i+1)-index(i)) = phiG*beta0.segment(index(i)-1,index(i+1)-index(i)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = mul_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:28: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:123:11: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 170 | right.noalias() -= tau * tmp * essential.adjoint(); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: 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]’ 303 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 304 | .applyHouseholderOnTheRight(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 2, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 2, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 2, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 2, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 2, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 2, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 2, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 2, -1, false>, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 2, -1, false>, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 2, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, 1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: 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::Block, 1, -1, false>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ 207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, true>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:318:36: required from ‘static void Eigen::HessenbergDecomposition<_MatrixType>::_compute(MatrixType&, CoeffVectorType&, VectorType&) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix; VectorType = Eigen::Matrix]’ 317 | matA.rightCols(remainingSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 318 | .applyHouseholderOnTheRight(matA.col(i).tail(remainingSize-1), numext::conj(h), &temp.coeffRef(0)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/./HessenbergDecomposition.h:161:15: required from ‘Eigen::HessenbergDecomposition<_MatrixType>& Eigen::HessenbergDecomposition<_MatrixType>::compute(const Eigen::EigenBase&) [with InputType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _MatrixType = Eigen::Matrix]’ 161 | _compute(m_matrix, m_hCoeffs, m_temp); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:271:17: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 271 | m_hess.compute(matrix.derived()/scale); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: 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]’ 306 | dst.bottomRightCorner(cornerSize, cornerSize) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 307 | .applyHouseholderOnTheLeft(essentialVector(k), m_coeffs.coeff(k), workspace.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 2, false>, 1, 2, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 2, false>, 1, 2, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 2, false>, 1, 2, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 2, false>, 1, 2, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; Rhs = Eigen::Matrix; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 2, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:22: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, false>, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, false>, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>, -1, 1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:618:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 618 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix > >, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ 379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 129 | tmp.noalias() = essential.adjoint() * bottom; | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 549 | m_qr.bottomRightCorner(rows-k, cols-k-1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 550 | .applyHouseholderOnTheLeft(m_qr.col(k).tail(rows-k-1), m_hCoeffs.coeffRef(k), &m_temp.coeffRef(k+1)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:477:3: required from ‘Eigen::ColPivHouseholderQR<_MatrixType>& Eigen::ColPivHouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 477 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:137:14: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:669:10: required from ‘const Eigen::ColPivHouseholderQR::PlainObject> Eigen::MatrixBase::colPivHouseholderQr() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 669 | return ColPivHouseholderQR(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:85:51: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:527:76: required from ‘struct Eigen::internal::product_evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>, 3, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 527 | typedef typename internal::nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1>; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::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::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [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]’ 423 | : Base(other.derived()) | ^ group.cpp:134:56: required from here 134 | Eigen::MatrixXd XGbar = XG.adjoint()*h.asDiagonal()*XG; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: 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> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 2, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 2, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 2, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2, -1, false>, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 2, true> >, const Eigen::Block, -1, -1, false>, 2, -1, false>, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:526:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 526 | m_matT.block(k, k, 3, size-k).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, 1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, 1, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, true> >, const Eigen::Block, -1, -1, false>, 1, -1, false>, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:541:69: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 541 | m_matT.block(iu-1, iu-1, 2, size-iu+1).applyHouseholderOnTheLeft(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 2, false>, 1, 2, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 2, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, 2, false>, 1, 2, false> >, const Eigen::Block, 2, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:527:79: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 527 | m_matT.block(0, k, (std::min)(iu,k+3) + 1, 3).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false>, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, 1, false>, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:542:62: required from ‘void Eigen::RealSchur<_MatrixType>::performFrancisQRStep(Index, Index, Index, bool, const Vector3s&, Scalar*) [with _MatrixType = Eigen::Matrix; Index = long int; Vector3s = Eigen::Matrix; Scalar = double]’ 542 | m_matT.block(0, iu-1, iu+1, 2).applyHouseholderOnTheRight(ess, tau, workspace); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:346:9: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::computeFromHessenberg(const HessMatrixType&, const OrthMatrixType&, bool) [with HessMatrixType = Eigen::internal::HessenbergDecompositionMatrixHReturnType >; OrthMatrixType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 346 | performFrancisQRStep(il, im, iu, computeU, firstHouseholderVector, workspace); | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:279:24: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 279 | computeFromHessenberg(m_hess.matrixH(), m_matU, computeU); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, const Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose, 1, -1, false> > > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::CwiseUnaryOp, const Eigen::Matrix >, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:21:48: required from here 21 | Eigen::MatrixXd y = vectors*value.cwiseSqrt()*vectors.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = 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> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: 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> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: 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> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 4; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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, 0, Eigen::Stride<0, 0> >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: 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]’ 320 | applyThisOnTheLeft(dst,workspace,true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/RealSchur.h:278:28: required from ‘Eigen::RealSchur& Eigen::RealSchur<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 278 | m_hess.matrixQ().evalTo(m_matU, m_workspaceVector); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:389:22: required from ‘Eigen::EigenSolver& Eigen::EigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 389 | m_realSchur.compute(matrix.derived(), computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/EigenSolver.h:156:14: required from ‘Eigen::EigenSolver<_MatrixType>::EigenSolver(const Eigen::EigenBase&, bool) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 156 | compute(matrix.derived(), computeEigenvectors); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ group.cpp:18:44: required from here 18 | Eigen::EigenSolver eig(X); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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 = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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 = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ group.cpp:224:43: required from here 224 | Eigen::MatrixXd XGbar = XG.adjoint()*h*XG; | ~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int ProductTag = 3; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, -1, 1, false> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::ColPivHouseholderQR >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ group.cpp:85:59: required from here 85 | Eigen::VectorXd beta_B=X_B.colPivHouseholderQr().solve(y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o BeSS.so RcppExports.o bess.o group.o -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp5GvVkA/R.INSTALL1b272770071799/BeSS/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-BeSS/00new/BeSS/libs ** 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 ** 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 (BeSS) * installing *source* package ‘lcmm’ ... ** this is package ‘lcmm’ version ‘2.2.2’ ** package ‘lcmm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-13) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpUbfGAX/R.INSTALL1b1f602ef2de19/lcmm/src' gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c init.c -o init.o gcc-15 -I"/home/hornik/tmp/R/include" -DNDEBUG -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c runiran.c -o runiran.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c compute.f90 -o compute.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c hetmixOrd.f90 -o hetmixOrd.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c hetmixlin.f90 -o hetmixlin.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c hetmixCont.f90 -o hetmixCont.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c Jointhet.f90 -o Jointhet.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c calculusTransfo.f90 -o calculusTransfo.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c predictCont.f90 -o predictCont.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c predictMult.f90 -o predictMult.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c postprob2.f90 -o postprob2.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c cvpl.f90 -o cvpl.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c predictYcond.f90 -o predictYcond.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c mpjhet.f90 -o mpjhet.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c hetmixMult.f90 -o hetmixMult.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c iteminfo.f90 -o iteminfo.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c Integ.f90 -o Integ.o gcc-15 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o lcmm.so init.o runiran.o compute.o hetmixOrd.o hetmixlin.o hetmixCont.o Jointhet.o calculusTransfo.o predictCont.o predictMult.o postprob2.o cvpl.o predictYcond.o mpjhet.o hetmixMult.o iteminfo.o Integ.o -L/home/hornik/tmp/R/lib -lRblas -lgfortran -lm -lquadmath -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpUbfGAX/R.INSTALL1b1f602ef2de19/lcmm/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-lcmm/00new/lcmm/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 (lcmm) * installing *source* package ‘rpact’ ... ** this is package ‘rpact’ version ‘4.3.0’ ** package ‘rpact’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-13) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpq3lqbD/R.INSTALL1b2e5073e145c4/rpact/src' g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_as251.cpp -o f_as251.o gfortran-15 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_as251_fortran.f -o f_as251_fortran.o f_as251_fortran.f:565:72: 565 | ZEXP(Z) = EXP(Z) | 1 Warning: Obsolescent feature: Statement function at (1) f_as251_fortran.f:793:5: 793 | 30 IF (DLG .LE. EPS1) GO TO 50 | 1 Warning: Label 30 at (1) defined but not used [-Wunused-label] f_as251_fortran.f:192:72: 192 | ESTT(LVL) = ESTR | ^ Warning: ‘estr’ may be used uninitialized [-Wmaybe-uninitialized] f_as251_fortran.f:24:47: 24 | * FUNCN, WT, CONTRB, DLG, DX, DA, ESTL, ESTR, SUM, EXCESS, ERROR, | ^~~~ note: ‘estr’ was declared here f_as251_fortran.f:161:72: 161 | DLG = ABS(CONTRB - SUM) | ^ Warning: ‘contrb’ may be used uninitialized [-Wmaybe-uninitialized] f_as251_fortran.f:24:20: 24 | * FUNCN, WT, CONTRB, DLG, DX, DA, ESTL, ESTR, SUM, EXCESS, ERROR, | ^~~~~~ note: ‘contrb’ was declared here f_as251_fortran.f:247:72: 247 | BOUND = PART3 | ^ Warning: ‘part3’ may be used uninitialized [-Wmaybe-uninitialized] f_as251_fortran.f:23:46: 23 | * ERFAC, EL, EL1, BOUND, PART0, PART2, PART3, FUNC0, FUNC2, | ^~~~~ note: ‘part3’ was declared here g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_assertions.cpp -o f_assertions.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_count_data_estimation.cpp -o f_count_data_estimation.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_design_fisher_combination_test.cpp -o f_design_fisher_combination_test.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_design_group_sequential.cpp -o f_design_group_sequential.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_simulation_base_means.cpp -o f_simulation_base_means.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_simulation_base_rates.cpp -o f_simulation_base_rates.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_simulation_base_survival.cpp -o f_simulation_base_survival.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_simulation_survival_utilities.cpp -o f_simulation_survival_utilities.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c f_utilities.cpp -o f_utilities.o g++-15 -std=gnu++20 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o rpact.so RcppExports.o f_as251.o f_as251_fortran.o f_assertions.o f_count_data_estimation.o f_design_fisher_combination_test.o f_design_group_sequential.o f_simulation_base_means.o f_simulation_base_rates.o f_simulation_base_survival.o f_simulation_survival_utilities.o f_utilities.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpq3lqbD/R.INSTALL1b2e5073e145c4/rpact/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-rpact/00new/rpact/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 (rpact) * installing *source* package ‘VarSelLCM’ ... ** this is package ‘VarSelLCM’ version ‘2.1.3.2’ ** package ‘VarSelLCM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-13) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpIicbI1/R.INSTALL1b28557d1e90de/VarSelLCM/src' g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DARMA_USE_CURRENT -fpic -g -O2 -Wall -pedantic -mtune=native -c Algorithm.cpp -o Algorithm.o Algorithm.cpp: In member function ‘void Algorithm::Run(Rcpp::S4*)’: Algorithm.cpp:29:24: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 29 | for (int ini=0; inim_whotakewhat[j][h].n_rows; i++) nkjh(m_zCandCurrent(data_p->m_whotakewhat[j][h](i)), h)+=data_p->m_w(data_p->m_whotakewhat[j][h](i)); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ AlgorithmCategorical.cpp: In member function ‘double AlgorithmCategorical::IntegreOneVariableCategoricalDiscrim(const int&, const arma::colvec&)’: AlgorithmCategorical.cpp:37:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 37 | for (int i=0; im_whotakewhat[j][h].n_rows; i++) nkjh(z(data_p->m_whotakewhat[j][h](i)), h)+=data_p->m_w(data_p->m_whotakewhat[j][h](i)); | ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DARMA_USE_CURRENT -fpic -g -O2 -Wall -pedantic -mtune=native -c AlgorithmContinuous.cpp -o AlgorithmContinuous.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -I../inst/include -DARMA_USE_CURRENT -fpic -g -O2 -Wall -pedantic -mtune=native -c AlgorithmInteger.cpp -o AlgorithmInteger.o AlgorithmInteger.cpp: In member function ‘double AlgorithmInteger::IntegreOneVariable(const arma::vec&, const int&)’: AlgorithmInteger.cpp:24:20: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 24 | for (int i=0; i dlogPoisson(const arma::Col&, const arma::Col&, double)’: XEMInteger.cpp:6:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 6 | for (int i=0; i dlogPoissonbis(const arma::Col&, const arma::Col&, double)’: XEMMixed.cpp:11:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 11 | for (int i=0; i dlogPoissonter(const arma::Col&, const arma::Col&, double)’: XEMPen.cpp:11:18: warning: comparison of integer expressions of different signedness: ‘int’ and ‘const arma::uword’ {aka ‘const unsigned int’} [-Wsign-compare] 11 | for (int i=0; i Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ cyclops/CcdInterface.cpp: In member function ‘double bsccs::CcdInterface::evaluateProfileModel(bsccs::CyclicCoordinateDescent*, bsccs::AbstractModelData*, bsccs::IdType, const std::vector&, std::vector&, std::vector*, int, bool)’: cyclops/CcdInterface.cpp:600:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 600 | for (int i = 0; i < points.size(); ++i) { | ~~^~~~~~~~~~~~~~~ In file included from cyclops/CcdInterface.cpp:33: cyclops/Thread.h: In instantiation of ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction, bsccs::threading::std_thread) [with UnaryFunction = bsccs::CcdInterface::profileModel(bsccs::CyclicCoordinateDescent*, bsccs::AbstractModelData*, const bsccs::ProfileVector&, bsccs::ProfileInformationMap&, int, double, bool, bool)::; InputIt = bsccs::IncrementableIterator]’: cyclops/Thread.h:76:23: required from ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction) [with UnaryFunction = bsccs::CcdInterface::profileModel(bsccs::CyclicCoordinateDescent*, bsccs::AbstractModelData*, const bsccs::ProfileVector&, bsccs::ProfileInformationMap&, int, double, bool, bool)::; InputIt = bsccs::IncrementableIterator]’ 76 | return execute(function, DefaultThreadType()); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CcdInterface.cpp:396:26: required from here 396 | scheduler.execute(oneTask); | ~~~~~~~~~~~~~~~~~^~~~~~~~~ cyclops/Thread.h:120:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 120 | for (int i = 0; i < nThreads - 1 && begin + start + chunkSize < end; ++i, start += chunkSize) { | ~~^~~~~~~~~~~~~~ cyclops/Thread.h:130:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < workers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ cyclops/Thread.h: In instantiation of ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction, bsccs::threading::std_thread) [with UnaryFunction = bsccs::CcdInterface::evaluateProfileModel(bsccs::CyclicCoordinateDescent*, bsccs::AbstractModelData*, bsccs::IdType, const std::vector&, std::vector&, std::vector*, int, bool)::; InputIt = bsccs::IncrementableIterator]’: cyclops/Thread.h:76:23: required from ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction) [with UnaryFunction = bsccs::CcdInterface::evaluateProfileModel(bsccs::CyclicCoordinateDescent*, bsccs::AbstractModelData*, bsccs::IdType, const std::vector&, std::vector&, std::vector*, int, bool)::; InputIt = bsccs::IncrementableIterator]’ 76 | return execute(function, DefaultThreadType()); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CcdInterface.cpp:624:26: required from here 624 | scheduler.execute(oneTask); | ~~~~~~~~~~~~~~~~~^~~~~~~~~ cyclops/Thread.h:120:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 120 | for (int i = 0; i < nThreads - 1 && begin + start + chunkSize < end; ++i, start += chunkSize) { | ~~^~~~~~~~~~~~~~ cyclops/Thread.h:130:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < workers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/CompressedDataMatrix.cpp -o cyclops/CompressedDataMatrix.o cyclops/CompressedDataMatrix.cpp: In instantiation of ‘void bsccs::CompressedDataColumn::printMatrixMarketFormat(std::ostream&, int, int) const [with RealType = double; std::ostream = std::basic_ostream]’: cyclops/CompressedDataMatrix.cpp:397:16: required from here 397 | template class CompressedDataColumn; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:370:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 370 | for (int i = 0; i < columns.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp: In instantiation of ‘void bsccs::CompressedDataColumn::printMatrixMarketFormat(std::ostream&, int, int) const [with RealType = float; std::ostream = std::basic_ostream]’: cyclops/CompressedDataMatrix.cpp:398:16: required from here 398 | template class CompressedDataColumn; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:370:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 370 | for (int i = 0; i < columns.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp: In instantiation of ‘void bsccs::CompressedDataMatrix::printMatrixMarketFormat(std::ostream&) const [with RealType = double; std::ostream = std::basic_ostream]’: cyclops/CompressedDataMatrix.cpp:399:16: required from here 399 | template class CompressedDataMatrix; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:383:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 383 | for (int i = 0; i < getNumberOfColumns(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:391:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 391 | for (int col = 0; col < getNumberOfColumns(); ++col) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp: In instantiation of ‘void bsccs::CompressedDataMatrix::printMatrixMarketFormat(std::ostream&) const [with RealType = float; std::ostream = std::basic_ostream]’: cyclops/CompressedDataMatrix.cpp:400:16: required from here 400 | template class CompressedDataMatrix; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:383:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 383 | for (int i = 0; i < getNumberOfColumns(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~ cyclops/CompressedDataMatrix.cpp:391:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 391 | for (int col = 0; col < getNumberOfColumns(); ++col) { | ~~~~^~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/CyclicCoordinateDescent.cpp -o cyclops/CyclicCoordinateDescent.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/CyclicCoordinateDescent.cpp:21: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ cyclops/CyclicCoordinateDescent.cpp: In member function ‘void bsccs::CyclicCoordinateDescent::findMode(int, int, double, bsccs::AlgorithmType, int, bool)’: cyclops/CyclicCoordinateDescent.cpp:1078:33: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘int’ [-Wsign-compare] 1078 | if (allDelta.size() < J) allDelta.resize(J); | ~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:40: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ 68 | class InverseImpl | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ 43 | class Inverse : public InverseImpl::StorageKind> | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:30: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 133 | compute(); | ~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ 44 | DerivedAlignment = int(evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ 288 | typename internal::enable_if::MatchAtCompileTime),Derived>::type* = 0); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17: 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; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 463 | BlockType A_0 = lu.block(0,0,rows,k); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ 515 | partial_lu_impl | ~~~~~~~~~~~~~~~ 516 | < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 517 | typename TranspositionType::StorageIndex, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 518 | EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 519 | ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ 543 | internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:60: 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; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: 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; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ 587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols())); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 390 | lu.col(k).tail(fix(rrows)) /= lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: 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]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: 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; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: 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]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: 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]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: 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]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: 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; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: 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]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: 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; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, 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; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: 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]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Ref, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: 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; int SizeAtCompileTime = -1; Eigen::Index = long int]’ 493 | A11.template triangularView().solveInPlace(A12); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: 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::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; Dest = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: 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>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Inverse >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ cyclops/CyclicCoordinateDescent.cpp:1568:41: required from here 1568 | varianceMatrix = hessianMatrix.inverse(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/ModelData.cpp -o cyclops/ModelData.o cyclops/ModelData.cpp: In instantiation of ‘void bsccs::ModelData::convertAllCovariatesToDense(int) [with RealType = double]’: cyclops/ModelData.cpp:937:16: required from here 937 | template class ModelData; | ^~~~~~~~~~~~~~~~~ cyclops/ModelData.cpp:785:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 785 | for (int index = 0; index < getNumberOfColumns(); ++index) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ cyclops/ModelData.cpp: In instantiation of ‘void bsccs::ModelData::convertAllCovariatesToDense(int) [with RealType = float]’: cyclops/ModelData.cpp:938:16: required from here 938 | template class ModelData; | ^~~~~~~~~~~~~~~~ cyclops/ModelData.cpp:785:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 785 | for (int index = 0; index < getNumberOfColumns(); ++index) { | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/Timer.cpp -o cyclops/Timer.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/AbstractCrossValidationDriver.cpp -o cyclops/drivers/AbstractCrossValidationDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.cpp:16: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ cyclops/drivers/AbstractCrossValidationDriver.cpp: In member function ‘virtual void bsccs::AbstractCrossValidationDriver::resetForOptimal(bsccs::CyclicCoordinateDescent&, bsccs::AbstractSelector&, const bsccs::CCDArguments&)’: cyclops/drivers/AbstractCrossValidationDriver.cpp:44:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 44 | for (int i = 0; i < maxPoint.point.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ cyclops/drivers/AbstractCrossValidationDriver.cpp: In member function ‘virtual void bsccs::AbstractCrossValidationDriver::drive(bsccs::CyclicCoordinateDescent&, bsccs::AbstractSelector&, const bsccs::CCDArguments&)’: cyclops/drivers/AbstractCrossValidationDriver.cpp:130:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < maxPoint.point.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ cyclops/drivers/AbstractCrossValidationDriver.cpp:137:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 137 | for (int i = 0; i < maxPoint.point.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ In file included from cyclops/drivers/AbstractCrossValidationDriver.cpp:15: cyclops/Thread.h: In instantiation of ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction, bsccs::threading::std_thread) [with UnaryFunction = bsccs::AbstractCrossValidationDriver::doCrossValidationStep(bsccs::CyclicCoordinateDescent&, bsccs::AbstractSelector&, const bsccs::CCDArguments&, int, int, std::vector&, std::vector&, std::vector&)::; InputIt = bsccs::IncrementableIterator]’: cyclops/Thread.h:76:23: required from ‘UnaryFunction bsccs::TaskScheduler::execute(UnaryFunction) [with UnaryFunction = bsccs::AbstractCrossValidationDriver::doCrossValidationStep(bsccs::CyclicCoordinateDescent&, bsccs::AbstractSelector&, const bsccs::CCDArguments&, int, int, std::vector&, std::vector&, std::vector&)::; InputIt = bsccs::IncrementableIterator]’ 76 | return execute(function, DefaultThreadType()); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/drivers/AbstractCrossValidationDriver.cpp:328:20: required from here 328 | scheduler.execute(oneTask); | ~~~~~~~~~~~~~~~~~^~~~~~~~~ cyclops/Thread.h:120:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘long unsigned int’ [-Wsign-compare] 120 | for (int i = 0; i < nThreads - 1 && begin + start + chunkSize < end; ++i, start += chunkSize) { | ~~^~~~~~~~~~~~~~ cyclops/Thread.h:130:35: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 130 | for (int i = 0; i < workers.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/AbstractDriver.cpp -o cyclops/drivers/AbstractDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractDriver.cpp:8: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/AbstractSelector.cpp -o cyclops/drivers/AbstractSelector.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/AutoSearchCrossValidationDriver.cpp -o cyclops/drivers/AutoSearchCrossValidationDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.h:11, from cyclops/drivers/AutoSearchCrossValidationDriver.h:11, from cyclops/drivers/AutoSearchCrossValidationDriver.cpp:18: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ cyclops/drivers/AutoSearchCrossValidationDriver.cpp: In member function ‘virtual void bsccs::AutoSearchCrossValidationDriver::logResults(const bsccs::CCDArguments&)’: cyclops/drivers/AutoSearchCrossValidationDriver.cpp:55:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 55 | for (int i = 0; i < maxPoint.point.size(); ++i) { | ~~^~~~~~~~~~~~~~~~~~~~~~~ cyclops/drivers/AutoSearchCrossValidationDriver.cpp: In member function ‘virtual bsccs::MaxPoint bsccs::AutoSearchCrossValidationDriver::doCrossValidationLoop(bsccs::CyclicCoordinateDescent&, bsccs::AbstractSelector&, const bsccs::CCDArguments&, int, std::vector&, std::vector&)’: cyclops/drivers/AutoSearchCrossValidationDriver.cpp:168:16: warning: ‘currentOptimalValue’ may be used uninitialized [-Wmaybe-uninitialized] 168 | return MaxPoint{currentOptimal, currentOptimalValue}; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/drivers/AutoSearchCrossValidationDriver.cpp:89:16: note: ‘currentOptimalValue’ was declared here 89 | double currentOptimalValue; | ^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/BootstrapDriver.cpp -o cyclops/drivers/BootstrapDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/BootstrapDriver.h:13, from cyclops/drivers/BootstrapDriver.cpp:16: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/BootstrapSelector.cpp -o cyclops/drivers/BootstrapSelector.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/CrossValidationSelector.cpp -o cyclops/drivers/CrossValidationSelector.o cyclops/drivers/CrossValidationSelector.cpp: In member function ‘virtual void bsccs::CrossValidationSelector::getComplement(std::vector&)’: cyclops/drivers/CrossValidationSelector.cpp:124:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 124 | for (int i = 0; i < weights.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/WeightBasedSelector.cpp -o cyclops/drivers/WeightBasedSelector.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/GridSearchCrossValidationDriver.cpp -o cyclops/drivers/GridSearchCrossValidationDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.h:11, from cyclops/drivers/GridSearchCrossValidationDriver.h:11, from cyclops/drivers/GridSearchCrossValidationDriver.cpp:14: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/HierarchyAutoSearchCrossValidationDriver.cpp -o cyclops/drivers/HierarchyAutoSearchCrossValidationDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.h:11, from cyclops/drivers/AutoSearchCrossValidationDriver.h:11, from cyclops/drivers/HierarchyAutoSearchCrossValidationDriver.h:11, from cyclops/drivers/HierarchyAutoSearchCrossValidationDriver.cpp:14: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/HierarchyGridSearchCrossValidationDriver.cpp -o cyclops/drivers/HierarchyGridSearchCrossValidationDriver.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/drivers/AbstractDriver.h:11, from cyclops/drivers/AbstractCrossValidationDriver.h:11, from cyclops/drivers/GridSearchCrossValidationDriver.h:11, from cyclops/drivers/HierarchyGridSearchCrossValidationDriver.h:11, from cyclops/drivers/HierarchyGridSearchCrossValidationDriver.cpp:17: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/drivers/ProportionSelector.cpp -o cyclops/drivers/ProportionSelector.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/engine/AbstractModelSpecifics.cpp -o cyclops/engine/AbstractModelSpecifics.o In file included from cyclops/engine/ModelSpecifics.h:1942, from cyclops/engine/AbstractModelSpecifics.cpp:13: cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1032:31: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1032 | for (int index = 0; index < J; ++index) { | ~~~~~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘double bsccs::ModelSpecifics::getGradientObjective(bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:106:8: required from here 106 | double ModelSpecifics::getGradientObjective(bool useCrossValidation) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:116:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 116 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:120:43: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 120 | for (int i = 0; i < K; i++) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::PoissonRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::PoissonRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::LeastSquares; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::LeastSquares; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::LogisticRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::LogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, double>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:966:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 966 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::SparseIterator; Weights = bsccs::ModelSpecifics, double>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:969:60: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 969 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::DenseIterator; Weights = bsccs::ModelSpecifics, double>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:972:59: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 972 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::InterceptIterator; Weights = bsccs::ModelSpecifics, double>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:975:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 975 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, double>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:981:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 981 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::SparseIterator; Weights = bsccs::ModelSpecifics, double>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:984:60: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 984 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::DenseIterator; Weights = bsccs::ModelSpecifics, double>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:987:59: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 987 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::InterceptIterator; Weights = bsccs::ModelSpecifics, double>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:990:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 990 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = double]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TimeVaryingCoxProportionalHazards; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::BreslowTiedCoxProportionalHazards; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::CoxProportionalHazards; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::CoxProportionalHazards; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalPoissonRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::PoissonRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::PoissonRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::PoissonRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::LeastSquares; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::LeastSquares; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LeastSquares; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::LogisticRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::LogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::LogisticRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::EfronConditionalLogisticRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, float>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:966:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 966 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::SparseIterator; Weights = bsccs::ModelSpecifics, float>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:969:60: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 969 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::DenseIterator; Weights = bsccs::ModelSpecifics, float>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:972:59: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 972 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::InterceptIterator; Weights = bsccs::ModelSpecifics, float>::WeightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:975:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 975 | computeGradientAndHessianImpl>(index, ogradient, ohessian, weighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, float>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:981:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 981 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::SparseIterator; Weights = bsccs::ModelSpecifics, float>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:984:60: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 984 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::DenseIterator; Weights = bsccs::ModelSpecifics, float>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:987:59: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 987 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::computeGradientAndHessianImpl(int, double*, double*, Weights) [with IteratorType = bsccs::InterceptIterator; Weights = bsccs::ModelSpecifics, float>::UnweightedOperation; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:990:63: required from ‘void bsccs::ModelSpecifics::computeGradientAndHessian(int, double*, double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 990 | computeGradientAndHessianImpl>(index, ogradient, ohessian, unweighted); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:948:6: required from here 948 | void ModelSpecifics::computeGradientAndHessian(int index, double *ogradient, | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1320:28: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 1320 | for (int i=0; i::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::TiedConditionalLogisticRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::ConditionalLogisticRegression; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::setupSparseIndices(int) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2408:9: required from ‘void bsccs::ModelSpecifics::initialize(int, int, int, const void*, double*, double*, double*, double*, std::vector*>*, const int*, double*, double*, double*, double*, const double*) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’ 2408 | setupSparseIndices(N); // Need to be recomputed when hPid change! | ^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2370:6: required from here 2370 | void ModelSpecifics::initialize( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2353:34: warning: comparison of integer expressions of different signedness: ‘const int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 2353 | const int i = (k < hPidSize) ? hPid[k] : k; | ~~~^~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::initializeMM(bsccs::MmBoundType, const std::vector&) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:1023:9: required from ‘void bsccs::ModelSpecifics::computeMMGradientAndHessian(std::vector >&, const std::vector&, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’ 1023 | initializeMM(boundType, fixBeta); | ^~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1017:6: required from here 1017 | void ModelSpecifics::computeMMGradientAndHessian( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:205:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 205 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:236:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 236 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp:266:27: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 266 | for (int j = 0; j < J; ++j) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::IndicatorIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:336:54: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’ 336 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::SparseIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:339:51: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’ 339 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeXBetaImpl(double*) [with IteratorType = bsccs::DenseIterator; BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:342:50: required from ‘void bsccs::ModelSpecifics::computeXBeta(double*, bool) [with BaseModel = bsccs::SelfControlledCaseSeries; RealType = float]’ 342 | computeXBetaImpl>(beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ cyclops/engine/ModelSpecifics.hpp:324:6: required from here 324 | void ModelSpecifics::computeXBeta(double* beta, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:360:23: warning: comparison of integer expressions of different signedness: ‘int’ and ‘size_t’ {aka ‘long unsigned int’} [-Wsign-compare] 360 | for (int k = 0; k < K; ++k) { | ~~^~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeAccumlatedDenominator(bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’: cyclops/engine/ModelSpecifics.hpp:2024:2: required from ‘void bsccs::ModelSpecifics::updateXBetaImpl(RealType, int) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, double>::WeightedOperation; BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 2024 | computeAccumlatedDenominator(Weights::isWeighted); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1934:71: required from ‘void bsccs::ModelSpecifics::updateXBeta(double, int, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = double]’ 1934 | updateXBetaImpl, WeightedOperation>(realDelta, index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1920:6: required from here 1920 | void ModelSpecifics::updateXBeta(double delta, int index, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2164:55: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 2164 | if (static_cast(*reset) == i) { // TODO Check with SPARSE | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ cyclops/engine/ModelSpecifics.hpp: In instantiation of ‘void bsccs::ModelSpecifics::computeAccumlatedDenominator(bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’: cyclops/engine/ModelSpecifics.hpp:2024:2: required from ‘void bsccs::ModelSpecifics::updateXBetaImpl(RealType, int) [with IteratorType = bsccs::IndicatorIterator; Weights = bsccs::ModelSpecifics, float>::WeightedOperation; BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 2024 | computeAccumlatedDenominator(Weights::isWeighted); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1934:71: required from ‘void bsccs::ModelSpecifics::updateXBeta(double, int, bool) [with BaseModel = bsccs::BreslowTiedFineGray; RealType = float]’ 1934 | updateXBetaImpl, WeightedOperation>(realDelta, index); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:1920:6: required from here 1920 | void ModelSpecifics::updateXBeta(double delta, int index, bool useWeights) { | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ cyclops/engine/ModelSpecifics.hpp:2164:55: warning: comparison of integer expressions of different signedness: ‘unsigned int’ and ‘int’ [-Wsign-compare] 2164 | if (static_cast(*reset) == i) { // TODO Check with SPARSE | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils/HParSearch.cpp -o utils/HParSearch.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from utils/HParSearch.cpp:11: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utils/HParSearch.cpp:37:24: required from here 37 | Eigen::MatrixXd X( n, 3 ); //nRows, nCols | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utils/HParSearch.cpp:37:24: required from here 37 | Eigen::MatrixXd X( n, 3 ); //nRows, nCols | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ utils/HParSearch.cpp:39:26: required from here 39 | Eigen::VectorXd Y( n ); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utils/HParSearch.cpp:53:34: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ utils/HParSearch.cpp:54:33: required from here 54 | Eigen::VectorXd XTY = XTW * Y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Matrix, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Matrix >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:28: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ 56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr >::type, | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:519:47: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:520:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:547:15: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 547 | m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner)); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:551:15: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 551 | m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner)); | ~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:103: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:85: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, 1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:491:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*, IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 491 | return maxCoeff(row, col); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:521:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 519 | biggest_in_corner = m_lu.bottomRightCorner(rows-k, cols-k) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 520 | .unaryExpr(Scoring()) | ~~~~~~~~~~~~~~~~~~~~~ 521 | .maxCoeff(&row_of_biggest_in_corner, &col_of_biggest_in_corner); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:54:31: required from here 54 | Eigen::VectorXd XTY = XTW * Y; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, 1, false>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: 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::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:547:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 547 | m_lu.row(k).swap(m_lu.row(row_of_biggest_in_corner)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ 424 | call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:551:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 551 | m_lu.col(k).swap(m_lu.col(col_of_biggest_in_corner)); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:559:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 559 | m_lu.col(k).tail(rows-k-1) /= m_lu.coeff(k,k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 274 | evaluator rhsEval(rhs); | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]’ 329 | internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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 false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:147:40: required from ‘void Eigen::internal::evaluateProductBlockingSizesHeuristic(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 147 | typedef typename Traits::ResScalar ResScalar; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:342:81: required from ‘void Eigen::internal::computeProductBlockingSizes(Index&, Index&, Index&, Index) [with LhsScalar = double; RhsScalar = double; int KcFactor = 1; Index = long int]’ 342 | evaluateProductBlockingSizesHeuristic(k, m, n, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:355:66: required from ‘Eigen::internal::gemm_blocking_space::gemm_blocking_space(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, bool) [with int StorageOrder = 0; _LhsScalar = double; _RhsScalar = double; int MaxRows = -1; int MaxCols = -1; int MaxDepth = -1; int KcFactor = 1; Eigen::Index = long int]’ 355 | computeProductBlockingSizes(this->m_kc, this->m_mc, this->m_nc, num_threads); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:507:18: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 507 | BlockingType blocking(dst.rows(), dst.cols(), lhs.cols(), 1, true); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 82 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:54:31: required from here 54 | Eigen::VectorXd XTY = XTW * Y; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 5; bool Conjugate = false]’ 125 | Map >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r); | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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, 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; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:198:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ 198 | gebp(res.getSubMapper(i2, j2), blockA, blockB, actual_mc, actual_kc, actual_nc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ 230 | Gemm::run(rows, cols, m_lhs.cols(), | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | m_actualAlpha, m_blocking, info); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ 114 | func(0,rows, 0,cols); | ~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Matrix; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:851:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 851 | call_assignment_no_alias(dst, tmp, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:54:31: required from here 54 | Eigen::VectorXd XTY = XTW * Y; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:53:32: required from here 53 | Eigen::MatrixXd XTX = XTW * X; | ~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: 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, true>, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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, true>, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! 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, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:561:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 561 | m_lu.block(k+1,k+1,rows-k-1,cols-k-1).noalias() -= m_lu.col(k).tail(rows-k-1) * m_lu.row(k).tail(cols-k-1); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: 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>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/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]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: 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]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ 97 | { return mat.MEMBER(); } \ | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ 183 | return m_functor(m_arg.template subVector(index)); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:495:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ 495 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 122 | computeInPlace(); | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:470:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 470 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/LU/FullPivLU.h:872:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ 872 | return FullPivLU(eval()); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ utils/HParSearch.cpp:55:42: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: 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 = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: 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::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: 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 = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: 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>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::FullPivLU >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve >, Eigen::Matrix >]’ 147 | src.dec()._solve_impl(src.rhs(), dst); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve >, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ utils/HParSearch.cpp:55:50: required from here 55 | Eigen::VectorXd b_hat = XTX.fullPivLu().solve(XTY); | ~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c IsSorted.cpp -o IsSorted.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:235:61: required from here 235 | rcpp_result_gen = Rcpp::wrap(cyclopsGetFisherInformation(inRcppCcdInterface, sexpBitCovariates)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:235:61: required from here 235 | rcpp_result_gen = Rcpp::wrap(cyclopsGetFisherInformation(inRcppCcdInterface, sexpBitCovariates)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppModelData.cpp -o RcppModelData.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppCyclopsInterface.cpp -o RcppCyclopsInterface.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from RcppCyclopsInterface.cpp:17: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ RcppCyclopsInterface.cpp: In function ‘Rcpp::List cyclopsTestParameterizedPrior(Rcpp::Function&, const std::vector&, const std::vector&, const std::vector&)’: RcppCyclopsInterface.cpp:441:22: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 441 | for (int i = 0;i < indices.size(); ++i) { | ~~^~~~~~~~~~~~~~~~ RcppCyclopsInterface.cpp: In function ‘void checkInstanceNumber(int)’: RcppCyclopsInterface.cpp:652:34: warning: comparison of integer expressions of different signedness: ‘int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 652 | if (instance < 0 || instance >= instances.size()) { | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppGpuInterface.cpp -o RcppGpuInterface.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppIsSorted.cpp -o RcppIsSorted.o g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/priors/CovariatePrior.cpp -o cyclops/priors/CovariatePrior.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from cyclops/CyclicCoordinateDescent.h:20, from cyclops/priors/CovariatePrior.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ cyclops/CyclicCoordinateDescent.h:430:9: required from here 430 | Matrix hessianMatrix; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++20 -I"/home/hornik/tmp/R/include" -DNDEBUG -I. -Icyclops -DR_BUILD -DDOUBLE_PRECISION -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -g1 -fpic -g -O2 -Wall -pedantic -mtune=native -c cyclops/io/InputReader.cpp -o cyclops/io/InputReader.o 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. g++-15 -std=gnu++20 -shared -L/home/hornik/tmp/R/lib -Wl,-O1 -o Cyclops.so cyclops/CcdInterface.o cyclops/CompressedDataMatrix.o cyclops/CyclicCoordinateDescent.o cyclops/ModelData.o cyclops/Timer.o cyclops/drivers/AbstractCrossValidationDriver.o cyclops/drivers/AbstractDriver.o cyclops/drivers/AbstractSelector.o cyclops/drivers/AutoSearchCrossValidationDriver.o cyclops/drivers/BootstrapDriver.o cyclops/drivers/BootstrapSelector.o cyclops/drivers/CrossValidationSelector.o cyclops/drivers/WeightBasedSelector.o cyclops/drivers/GridSearchCrossValidationDriver.o cyclops/drivers/HierarchyAutoSearchCrossValidationDriver.o cyclops/drivers/HierarchyGridSearchCrossValidationDriver.o cyclops/drivers/ProportionSelector.o cyclops/engine/AbstractModelSpecifics.o utils/HParSearch.o IsSorted.o RcppExports.o RcppModelData.o RcppCyclopsInterface.o RcppGpuInterface.o RcppIsSorted.o cyclops/priors/CovariatePrior.o cyclops/io/InputReader.o -L/home/hornik/tmp/R/lib -lR 'LdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. 'RcppLdFlags' has not been needed since 2013 (!!) and may get removed in 2027. Please update your 'Makevars'. make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpebFrf5/R.INSTALL1b298275ae3a12/Cyclops/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-Cyclops/00new/Cyclops/libs ** R ** data *** moving datasets to lazyload DB ** 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 (Cyclops) begin installing package ‘IterativeHardThresholding’ * installing *source* package ‘IterativeHardThresholding’ ... ** this is package ‘IterativeHardThresholding’ version ‘1.0.3’ ** package ‘IterativeHardThresholding’ successfully unpacked and MD5 sums checked ** using staged installation ** 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 ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (IterativeHardThresholding) checking survminer_0.5.2.tar.gz ... checking allMT_0.1.1.tar.gz ... checking AdverseEvents_0.0.5.tar.gz ... checking AutoScore_1.1.0.tar.gz ... checking BioPred_1.0.2.tar.gz ... checking BRACE_0.1.0.tar.gz ... checking clustcurv_3.0.1.tar.gz ... checking clinpubr_1.2.0.tar.gz ... checking coda4microbiome_0.2.4.tar.gz ... checking Coxmos_1.1.5.tar.gz ... checking CondiS_0.1.2.tar.gz ... checking csmpv_1.0.5.tar.gz ... checking E2E_0.1.2.tar.gz ... checking FlexVarJM_0.1.0.tar.gz ... checking GFDsurv_0.1.1.tar.gz ... checking ggquickeda_0.3.3.tar.gz ... checking hipecR_2.0.0.tar.gz ... checking IDMIR_0.1.1.tar.gz ... checking lilikoi_2.1.1.tar.gz ... checking LongCART_3.2.tar.gz ... checking MAICtools_0.1.1.tar.gz ... checking MetabolicSurv_1.1.2.tar.gz ... checking MicrobiomeSurv_0.1.0.tar.gz ... checking NADA2_2.0.1.tar.gz ... checking Oncofilterfast_1.0.0.tar.gz ... checking OneSampleLogRankTest_0.9.2.tar.gz ... checking PERSUADE_0.1.2.tar.gz ... checking psc_2.0.1.tar.gz ... checking reporter_1.4.6.tar.gz ... checking pencal_2.3.0.tar.gz ... checking nphRCT_0.1.1.tar.gz ... checking finalfit_1.1.0.tar.gz ... checking injurytools_2.0.1.tar.gz ... checking QTOCen_0.1.1.tar.gz ... checking SHELF_1.12.1.tar.gz ... checking SurvMetrics_0.5.1.tar.gz ... checking reconstructKM_0.4.0.tar.gz ... checking GPTCM_1.1.3.tar.gz ... checking FRESA.CAD_3.4.8.tar.gz ... checking expertsurv_1.4.1.tar.gz ... checking maicplus_0.1.2.tar.gz ... checking flexsurv_2.3.2.tar.gz ... checking bpcp_1.5.1.tar.gz ... checking spect_1.0.tar.gz ... checking multipleOutcomes_0.4.tar.gz ... checking autoReg_0.3.3.tar.gz ... checking PatientLevelPrediction_6.5.1.tar.gz ... checking SMDIC_0.1.6.tar.gz ... checking simstudy_0.9.2.tar.gz ... checking BCClong_1.0.3.tar.gz ... checking survextrap_1.0.1.tar.gz ... checking tinyarray_2.4.3.tar.gz ... checking VirtualPop_2.1.0.tar.gz ... checking rcssci_0.4.0.tar.gz ... checking survParamSim_0.1.7.tar.gz ... checking iClusterVB_0.1.4.tar.gz ... checking UCSCXenaShiny_2.2.0.tar.gz ... checking DTEBOP2_1.0.3.tar.gz ... checking smdi_0.3.2.tar.gz ... checking canvasXpress_1.59.5.tar.gz ... checking WARDEN_2.0.1.tar.gz ... checking calibmsm_1.1.3.tar.gz ... checking TrialSimulator_1.10.1.tar.gz ... Depends: Package: survminer Depends: ggplot2(>= 3.4.0), ggpubr(>= 0.1.6) Imports: grid, gridExtra (>= 2.0), magrittr, maxstat, methods, scales, survival, stats, broom, dplyr, tidyr, purrr, tibble, rlang, ggtext (>= 0.1.0) Timings: user system elapsed survminer 226.413 12.127 240.938 Results: Check status summary: NOTE OK Source packages 1 0 Reverse depends 3 59 Check results summary: survminer ... NOTE * checking examples ... [71s/71s] NOTE rdepends_AdverseEvents ... OK rdepends_allMT ... OK rdepends_autoReg ... OK rdepends_AutoScore ... OK rdepends_BCClong ... OK rdepends_BioPred ... OK rdepends_bpcp ... OK rdepends_BRACE ... OK rdepends_calibmsm ... OK rdepends_canvasXpress ... OK rdepends_clinpubr ... OK rdepends_clustcurv ... OK rdepends_coda4microbiome ... OK rdepends_CondiS ... OK rdepends_Coxmos ... OK rdepends_csmpv ... OK rdepends_DTEBOP2 ... OK rdepends_E2E ... OK rdepends_expertsurv ... OK rdepends_finalfit ... OK rdepends_flexsurv ... OK rdepends_FlexVarJM ... OK rdepends_FRESA.CAD ... OK rdepends_GFDsurv ... OK rdepends_ggquickeda ... OK rdepends_GPTCM ... OK rdepends_hipecR ... OK rdepends_iClusterVB ... OK rdepends_IDMIR ... OK rdepends_injurytools ... OK rdepends_lilikoi ... OK rdepends_LongCART ... NOTE * checking Rd files ... [0s/0s] NOTE rdepends_maicplus ... OK rdepends_MAICtools ... OK rdepends_MetabolicSurv ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_MicrobiomeSurv ... OK rdepends_multipleOutcomes ... OK rdepends_NADA2 ... OK rdepends_nphRCT ... OK rdepends_Oncofilterfast ... OK rdepends_OneSampleLogRankTest ... OK rdepends_PatientLevelPrediction ... OK rdepends_pencal ... OK rdepends_PERSUADE ... OK rdepends_psc ... OK rdepends_QTOCen ... NOTE * checking Rd files ... [1s/1s] NOTE rdepends_rcssci ... OK rdepends_reconstructKM ... OK rdepends_reporter ... OK rdepends_SHELF ... OK rdepends_simstudy ... OK rdepends_smdi ... OK rdepends_SMDIC ... OK rdepends_spect ... OK rdepends_survextrap ... OK rdepends_SurvMetrics ... OK rdepends_survParamSim ... OK rdepends_tinyarray ... OK rdepends_TrialSimulator ... OK rdepends_UCSCXenaShiny ... OK rdepends_VirtualPop ... OK rdepends_WARDEN ... OK Check results changes: Package: FlexVarJM Check: CRAN incoming feasibility Old result: NOTE Package: FRESA.CAD Check: CRAN incoming feasibility Old result: NOTE Package: lilikoi Check: CRAN incoming feasibility Old result: NOTE Package: LongCART Check: CRAN incoming feasibility Old result: NOTE