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enpls

6.1.1Package record

Ensemble Partial Least Squares Regression

0packages depend
3.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

Changes in 6.1.1

Improvements

  • Use GitHub Actions workflow to build pkgdown website (#2).
  • Fix R CMD check notes for r-devel on the invalid file URIs in README.md (#2).

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 5.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 6.1.1
READMEYes · 136 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 6.1.1Citation fileNoWebsiteYes · pkgdown
Help pages
47 (12 internal)includes a package overview page
Examples that run
91%29 run in a plain check · 3 never run
Exported functions with examples
77%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
4%

Downloads

3.8K
CRAN downloads in the past year
Rank #8,929 · ~10/day · ~317/mo
Daily download trend is not available in this view yet.
45230 days
1.1K90 days
3.8K1 year
Compare downloads with other packages →
Also on99 r2u7 autocran208 c2d4u

Repository

18Stars
8Forks
0Open issues
0Open PRs
7Releases
104Commits
1Commit identities
machine-learningensemble-learningoutlier-detectionpartial-least-squares-regressiondimensionality-reductionchemometrics
License file reads as GPL-3.0 · 104 commits · Last activity 2025-07-29
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
1
Median days to close, 50 most recently updated closed PRs
0

Stars over time

2023-01-07 · 182026-07-07 · 18
PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/nanxstats/enpls on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (2)
Code of conductContributing guide
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-08-21 · The repository has a site deploy workflow

pkgdown site last built 2025-08-21

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing enpls adds 71 packages (37 with compiled code, 70 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 3.0.2
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Author, Maintainer since 1.0 (2014)
Author · added in 3.0
Listed in earlier versions (3)
Show 3 peopleHide 3 people
Dongsheng Cao
no longer listed · 5.7 to 5.8
no longer listed · 5.7 to 5.8
Qingsong Xu
no longer listed · 5.7 to 5.8
Releases (13)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 6.1.1Latest
    record
    2025-07-29 · current release · diff ↗
  • 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
  • R
    R 4.0.0 released · 2020-04-24
  • 6.1
    record
    2019-05-18 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 6.0
    record
    2018-05-14 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 5.9
    record
    2017-09-27 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 5.8
    record
    2017-03-25 · diff ↗
  • 5.7
    record
    2017-01-05 · diff ↗
Show 10 earlier eventsHide 10 earlier events
  • 5.6
    record
    2016-11-26 · diff ↗
  • 5.0
    record
    2016-10-25 · diff ↗ ·
    added 2 exports
    enpls.ad, enspls.ad
  • 4.5
    record
    2016-09-15 · diff ↗ ·
    added 3 exports
    enpls.mae, enpls.rmse, enpls.rmsle
  • 4.0
    record
    2016-08-29 · diff ↗
  • 3.0
    record
    2016-06-29 · diff ↗ ·
    removed 1 export
    enpls.en
    added 5 exports
    cv.enspls, enpls.fit, enspls.fit, enspls.fs, enspls.od
  • R
    R 3.3.0 released · 2016-05-03
  • 1.1
    record
    2015-11-27 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
  • 1.0
    record
    2014-10-03
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2014-10-03
Total releases
13 / 12 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 3.0.2
Bundled data
129 KB / 2 files
Download size
1.6 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("enpls")
Xiao, N., Cao, D., Li, M., & Xu, Q. (2025). enpls: Ensemble Partial Least Squares Regression (Version 6.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.enpls

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 enpls version 6.1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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