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sNPLS

1.0.27Package record

NPLS Regression with L1 Penalization

0packages depend
3Kdownloads / year
–test coverage
11/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘David Hervas <ddhervas@yahoo.es>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "David",
                    family = "Hervas",
                    role = c("aut", "cre"),
                    email = "ddhervas@yahoo.es")
as necessary.

CRAN check page ↗

Slowest check: 59 s · r-oldrel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.27
READMEYes · 25 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
21
Examples that run
50%1 run in a plain check · 1 never run
Exported functions with examples
40%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
10%

Downloads

3K
CRAN downloads in the past year
Rank #17,339 · ~8/day · ~250/mo
Daily download trend is not available in this view yet.
27030 days
74190 days
3K1 year
Compare downloads with other packages →
Also on66 r2u2 autocran1.1K conda_forge

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing sNPLS adds 37 packages (20 with compiled code, 24 MB of source tarballs). Heaviest: ggplot2 6.0 MB, mclust 2.7 MB, Rcpp 1.8 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 0.1.1 (2016)

Releases (10)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.27Latest
    record
    2020-12-16 · current release · diff ↗ ·
    added 1 export
    SR
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 0.3.31
    record
    2018-02-20 · diff ↗
  • 0.3.0
    record
    2017-10-29 · diff ↗
  • 0.2.7
    record
    2017-10-01 · diff ↗
  • 0.2.0
    record
    2017-07-22 · diff ↗
  • 0.1.8
    record
    2017-05-08 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
Show 5 earlier eventsHide 5 earlier events

Package metadata

First published
2016-10-09
Total releases
10 / 10 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 2.10
Bundled data
0.9 KB / 1 file
Download size
15 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sNPLS")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sNPLS version 1.0.27 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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