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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.27 rolling linux/jammy R-4.5 sNPLS_1.0.27.tar.gz 88.9 KiB
1.0.27 rolling linux/noble R-4.5 sNPLS_1.0.27.tar.gz 88.8 KiB
1.0.27 rolling source/ R- sNPLS_1.0.27.tar.gz 14.6 KiB
1.0.27 latest linux/jammy R-4.5 sNPLS_1.0.27.tar.gz 88.9 KiB
1.0.27 latest linux/noble R-4.5 sNPLS_1.0.27.tar.gz 88.8 KiB
1.0.27 latest source/ R- sNPLS_1.0.27.tar.gz 14.6 KiB
1.0.27 2026-04-26 source/ R- sNPLS_1.0.27.tar.gz 14.6 KiB
1.0.27 2026-04-23 source/ R- sNPLS_1.0.27.tar.gz 14.6 KiB
1.0.27 2026-04-09 windows/windows R-4.5 sNPLS_1.0.27.zip 90.9 KiB
1.0.27 2025-04-20 source/ R- sNPLS_1.0.27.tar.gz 14.6 KiB

Dependencies (latest)

Imports