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
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

Documentation:

Reference manual:

rpls.pdf

Downloads:

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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