Package: sNPLS
Type: Package
Title: NPLS Regression with L1 Penalization
Version: 1.0.40
Author: David Hervas
Maintainer: David Hervas <ddhervas@yahoo.es>
Depends: R (>= 2.10)
Imports: clickR, future, future.apply, GA, ggplot2, ggrepel, ks, MASS,
        Matrix, pbapply, pROC
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-10-13 11:29:10 UTC; root
Repository: https://david-hervas.r-universe.dev
Date/Publication: 2023-12-29 14:58:29 UTC
RemoteUrl: https://github.com/david-hervas/snpls
RemoteRef: HEAD
RemoteSha: 373054a149df0386feca30e359d08e7d3b9bd2c1