rpls: Robust Partial Least Squares

A robust Partial Least-Squares (PLS) method is implemented that is robust to outliers in the residuals as well as to leverage points. A specific weighting scheme is applied which avoids iterations, and leads to a highly efficient robust PLS estimator.

Version: 0.6.0
Imports: pcaPP, robustbase
Published: 2020-05-07
DOI: 10.32614/CRAN.package.rpls
Author: Peter Filzmoser, Sukru Acitas, Birdal Senoglu and Maximilian Plattner
Maintainer: Peter Filzmoser <peter.filzmoser at tuwien.ac.at>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: rpls results


Reference manual: rpls.pdf


Package source: rpls_0.6.0.tar.gz
Windows binaries: r-devel: rpls_0.6.0.zip, r-release: rpls_0.6.0.zip, r-oldrel: rpls_0.6.0.zip
macOS binaries: r-release (arm64): rpls_0.6.0.tgz, r-oldrel (arm64): rpls_0.6.0.tgz, r-release (x86_64): rpls_0.6.0.tgz, r-oldrel (x86_64): rpls_0.6.0.tgz
Old sources: rpls archive


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