sNPLS: NPLS Regression with L1 Penalization
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.
| Version: |
1.0.41 |
| Depends: |
R (≥ 2.10) |
| Imports: |
clickR, future, future.apply, GA, ggplot2, ggrepel, ks, MASS, Matrix, pbapply, pROC, rlang |
| Published: |
2026-11-03 |
| DOI: |
10.32614/CRAN.package.sNPLS |
| Author: |
David Hervas [aut, cre] |
| Maintainer: |
David Hervas <ddhervas at yahoo.es> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
sNPLS results |
Documentation:
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