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Tools for performing variable selection in three-way data using N-PLS in combination with L1 penalization, Selectivity Ratio and VIP scores. The N-PLS model (Rasmus Bro, 1996 <DOI:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>) is the natural extension of PLS (Partial Least Squares) to N-way structures, and tries to maximize the covariance between X and Y data arrays. The package also adds variable selection through L1 penalization, Selectivity Ratio and VIP scores.

copied from cf-staging / r-snpls

Installers

Info: This package contains files in non-standard labels.
  • noarch v1.0.27
  • linux-64 v0.3.31
  • win-64 v0.3.31
  • osx-64 v0.3.31

conda install

To install this package run one of the following:
conda install conda-forge::r-snpls
conda install conda-forge/label/cf201901::r-snpls
conda install conda-forge/label/cf202003::r-snpls

Description


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