rpls: Robust Partial Least Squares (original) (raw)
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 |
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