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>).
Version: 1.0.1 Depends: R (≥ 3.5.0) Imports: boot, doParallel, foreach, plsRglm, pls, spls, bipartite, mvtnorm Suggests: knitr, markdown, plsdof, prettydoc, rmarkdown Published: 2024-09-24 DOI: 10.32614/CRAN.package.bootPLS Author: Frederic Bertrand [cre, aut], Jeremy Magnanensi [aut], Myriam Maumy-Bertrand [aut] Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr> BugReports: https://github.com/fbertran/bootPLS/issues/ License: GPL-3 URL: https://fbertran.github.io/bootPLS/, https://github.com/fbertran/bootPLS/ NeedsCompilation: no Classification/MSC: 62N01, 62N02, 62N03, 62N99 Citation: bootPLS citation info Materials: README NEWS CRAN checks: bootPLS results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bootPLS to link to this page.
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