Allows to build Multi-Data-Driven Sparse PLS models. Multi-blocks with high-dimensional settings are particularly sensible to this.
A sparse PLS formulation for mono and multi-block data sets with missing samples
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1.0.61 by Hadrien Lorenzo, 2 months ago
Browse source code at https://github.com/cran/ddsPLS
Authors: Hadrien Lorenzo [aut, cre] , Jerome Saracco [aut] , Rodolphe Thiebaut [aut]
Documentation: PDF Manual
Task views: Missing Data
MIT + file LICENSE license
Imports RColorBrewer, MASS, graphics, stats, Rdpack, doParallel, foreach, parallel
Suggests knitr, rmarkdown
See at CRAN