bootsPLS: Bootstrap Subsamplings of Sparse Partial Least Squares - Discriminant Analysis for Classification and Signature Identification

Applicable to any classification problem with more than 2 classes. It relies on bootstrap subsamplings of sPLS-DA and provides tools to select the most stable variables (defined as the ones consistently selected over the bootstrap subsamplings) and to predict the class of test samples.

Version: 1.1.1
Depends: mixOmics (≥ 6.3.1)
Published: 2017-12-18
Author: Florian Rohart [aut, cre], Kim-Anh Le Cao [boss], Christine Wells [boss]
Maintainer: Florian Rohart <florian.rohart at>
License: GPL-3
NeedsCompilation: no
Materials: NEWS
CRAN checks: bootsPLS results


Reference manual: bootsPLS.pdf
Package source: bootsPLS_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: bootsPLS_1.1.1.tgz
OS X Mavericks binaries: r-oldrel: bootsPLS_1.1.1.tgz
Old sources: bootsPLS archive


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