Package: bootPLS 1.1.0

bootPLS: Bootstrap Hyperparameter Selection for PLS Models and Extensions

Several implementations of non-parametric stable bootstrap-based techniques to determine the numbers of components for Partial Least Squares linear or generalized linear regression models as well as and sparse Partial Least Squares linear or generalized linear regression models. The package collects techniques that were published in a book chapter (Magnanensi et al. 2016, 'The Multiple Facets of Partial Least Squares and Related Methods', <doi:10.1007/978-3-319-40643-5_18>) and two articles (Magnanensi et al. 2017, 'Statistics and Computing', <doi:10.1007/s11222-016-9651-4>) and (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics', <doi:10.3389/fams.2021.693126>).

Authors:Frederic Bertrand [cre, aut], Jeremy Magnanensi [aut], Myriam Maumy-Bertrand [aut]

bootPLS_1.1.0.tar.gz
bootPLS_1.1.0.zip(r-4.7)bootPLS_1.1.0.zip(r-4.6)bootPLS_1.1.0.zip(r-4.5)
bootPLS_1.1.0.tgz(r-4.6-any)bootPLS_1.1.0.tgz(r-4.5-any)
bootPLS_1.1.0.tar.gz(r-4.7-any)bootPLS_1.1.0.tar.gz(r-4.6-any)
bootPLS_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bootPLS/json (API)
NEWS

# Install 'bootPLS' in R:
install.packages('bootPLS', repos = c('https://fbertran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/fbertran/bootpls/issues

Pkgdown/docs site:https://fbertran.github.io

Datasets:
  • datasim - Simulated dataset for gamma family based PLSR

On CRAN:

Conda:

4.48 score 3 stars 4 scripts 617 downloads 15 exports 91 dependencies

Last updated from:525b0e3efc. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK178
source / vignettesOK222
linux-release-x86_64OK157
macos-release-arm64OK96
macos-oldrel-arm64OK82
windows-develOK116
windows-releaseOK108
windows-oldrelOK95
wasm-releaseOK143

Exports:coefs.plsR.adapt.ncompcoefs.plsR.CSimcoefs.plsRglm.CSimcoefs.sgpls.CSimnbcomp.bootplsRnbcomp.bootplsRglmnbcomp.bootsgplsnbcomp.bootsgpls.paranbcomp.bootsplsnbcomp.bootspls.parapermcoefs.plsR.CSimpermcoefs.plsRglm.CSimpermcoefs.sgpls.CSimsignpred2simul_data_UniYX_gamma

Dependencies:abindbackportsbipartitebootbroomcarcarDatacliclustercodacodetoolscolorspacecorpcorcowplotcpp11DerivdoBydoParalleldotCall64dplyrfarverfieldsforeachforecastFormulafracdiffgenericsggplot2gluegtableigraphisobanditeratorslabelinglatticelifecyclelme4lmtestmagrittrmapsMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmvtnormnetworknlmenloptrnnetnumDerivpbkrtestpermutepillarpkgconfigplsplsRglmpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalessnaspamSparseMsplsstatnet.commonstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsveganviridisLitewithrzoo

Selecting the number of components

Frédéric Bertrand and Myriam Maumy-Bertrand

Rendered fromUseNbcomp.Rmdusingknitr::rmarkdownon May 25 2026.

Last update: 2025-09-13
Started: 2021-07-13