R Observatory: Metrics for enpls version 6.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

enpls

6.1.1

Ensemble Partial Least Squares Regression

0packages depend

3.9Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Nan XiaoFirst published 2014-10-0313 releasesCRAN page ↗GitHub ↗

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

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("enpls", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("nanxstats/enpls")

Development version from nanxstats/enpls. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-enpls

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-enpls

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-enpls

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 6.4 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 136 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 4%

Downloads

3.9K

CRAN downloads in the past year

Rank #10,032 · ~11/day · ~329/mo

Releases R versions

Daily download trend is not available in this view yet.

25130 days

94490 days

3.9K1 year

Compare downloads with other packages →

Also on138 r2u21 autocran72 c2d4u

Repository

GitHub ↗ nanxstats/enpls

18Stars

8Forks

0Open issues

0Open PRs

7Releases

104Commits

1Contributors

machine-learningensemble-learningoutlier-detectionpartial-least-squares-regressiondimensionality-reductionchemometrics

License GPL-3.0 · 104 commits · Last activity 2025-08-21

Stars over time

2023-01-07 · 182026-07-07 · 18

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/nanxstats/enpls on 2026-08-16.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.0.2

Imports (7)

pls spls foreach doParallel ggplot2 reshape2 plotly

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Nan Xiao

Author, Maintainer

Authors (4)

Nan Xiao

Author, Maintainer

Dong-Sheng Cao

Author

Miao-Zhu Li

Author · added in 3.0

Qing-Song Xu

Author

Listed in earlier versions (3)

Dongsheng Cao

no longer listed · 5.7 to 5.8

Miaozhu Li

no longer listed · 5.7 to 5.8

Qingsong Xu

no longer listed · 5.7 to 5.8

Package Timeline

13 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
6.1.1Latest
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
2019-05-18 · diff ↗
R
R 3.6.0 released · 2019-04-26
6.0
2018-05-14 · diff ↗
R
R 3.5.0 released · 2018-04-23
5.9
2017-09-27 · diff ↗
R
R 3.4.0 released · 2017-04-21
5.8
2017-03-25 · diff ↗
5.7
2017-01-05 · diff ↗

Show 10 earlier events

5.6
2016-11-26 · diff ↗
5.0
2016-10-25 · diff ↗
4.5
2016-09-15 · diff ↗
4.0
2016-08-29 · diff ↗
3.0
2016-06-29 · diff ↗
R
R 3.3.0 released · 2016-05-03
1.1
2015-11-27 · diff ↗
R
R 3.2.0 released · 2015-04-16
1.0
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
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection Chemometrics and Computational Physics

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("enpls")

Format

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 is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for enpls version 6.1.1 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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