R Observatory: Metrics for fastPLS version 0.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fastPLS

0.4Package record

Fast Partial Least Squares for High-Dimensional Data

1packages depend

2.4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Stefano CacciatoreCRAN page ↗GitHub ↗Issues ↗

Fast implementations of partial least squares models for high-dimensional regression and classification. The 'fastPLS' software provides compiled implementations of PLS-SVD, a SIMPLS-family estimator, OPLS and kernel PLS, together with truncated singular value decomposition backends, discriminant classifiers, cross-validation utilities and optional 'CUDA' or Apple 'Metal' acceleration when the required system libraries are available. Compact latent prediction and memory-aware numerical routes support analyses with large predictor or multivariate-response matrices.

Changes in 0.4

Corrected MKL thread control to call only its C entry point. The lowercase Fortran entry expects a pointer and could crash when n.cores was set, including before an unavailable CUDA backend returned its normal error.
Corrected the shared SIMPLS score Gram matrix used by LDA to include correlations between direction blocks. Assuming these correlations were zero could produce an indefinite pooled covariance and failed Cholesky stabilization, notably for binary classification with many components. PLS directions and rSVD defaults are unchanged.
Require gpuinfo 0.2.0 and include its CUDA shared-library inventory in fastPLS::cuda_info(), marking the libraries required by fastPLS. Generic hardware discovery remains independent of this package's native runtime checks. Fitting, prediction, and cross-validation no longer repeat system discovery or reject a working backend on the basis of a separate probe.

Show all changes in 0.4Hide the rest of the changes in 0.4

Prevent fastPLS_blas() from reporting R's BLAS path as the library used by an independently linked Accelerate or OpenBLAS build.
Added gpuinfo as the shared hardware-capability dependency. Use gpuinfo::has_cuda() and gpuinfo::has_metal() for hardware discovery; cuda_info() continues to report whether this fastPLS build contains functional CUDA code. The duplicate public fastPLS capability functions have been removed.
Hardened zero-length float32 and numeric matrix serialization, including valid OPLS models with no orthogonal components.
Added overflow checks for native matrix allocation and R array-path serialization, and reject CPU core counts outside R's integer range.
Preserved the tracked Metal source when package cleanup runs during R CMD build.

From NEWS.md in the release

Install

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

install.packages("fastPLS", 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("tkcaccia/fastPLS")

Development version from tkcaccia/fastPLS. 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-fastpls

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-fastPLS

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-fastPLS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.6 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4

READMEYes · 772 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 0.4Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 100%12 run in a plain check
Exported functions with examples: 100%
Documented parameters: 88%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (2)

fastPLS User Guide HTML
Installing fastPLS HTML

How these are measured

Downloads

2.4K

CRAN downloads in the past year

Rank #14,004 · ~7/day · ~199/mo

Releases R versions

Daily download trend is not available in this view yet.

43930 days

83490 days

2.4K1 year

Compare downloads with other packages →

Also on366 r2u7 autocran

How downloads are counted

Repository

tkcaccia/fastpls ↗Account: tkcaccia

0Stars

0Forks

0Open issues

0Open PRs

1Releases

285Commits

1Commit identities

285 commits · Last activity 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Commits over time

2026-10-04 · 2832026-10-20 · 285

How these are measured

PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/tkcaccia/fastpls on 2026-10-18.

CRAN release process (1)

cran-comments.md

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing fastPLS adds 2 packages (2 with compiled code, 1.4 MB of source tarballs). Heaviest: float 1.3 MB, gpuinfo 84 KB.

Depends (1)

R >= 4.6.0

Imports (3)

methodsfloat gpuinfo

LinkingTo (0)

none

Suggests (3)

knitr rmarkdown testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

harf

How these are counted

Code & Tests

People & History

People (4)

Stefano Cacciatore

Author, Maintainer since 0.2 (2024)

Dupe Ojo

Author

Leonardo Tenori

Author

Alessia Vignoli

Author

Releases (3)

Pick two releases to compare their code metrics.

0.4Latest
record
2026-10-20 · current release · diff ↗ ·
removed 2 exports
has_cuda, has_metal
·
14 hours in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-15 17:32 to 2026-10-16 07:45 UTC, in 5 readings.
0.3
record
2026-09-28 · diff ↗ ·
removed 3 exports
optim.pls.cv, predict.fastPLS, transformy

added 8 exports
evaluate, fastPLS_blas, fastsvd, cuda_info, has_cuda, has_metal, pls.single.cv, plot.permutation
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.2
record
2024-12-11
R
R 4.4.0 released · 2024-04-24

Across CRAN, the median accepted release of the past year spent 23 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2024-12-11
Total releases: 3 / 2 yrs
License: MIT + file LICENSE OSI · relicensed from GPL-3 in 0.3
Minimum R: ≥ 4.6.0
Download size: 602 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fastPLS")

Format

Cacciatore, S., Ojo, D., Tenori, L., & Vignoli, A. (2026). fastPLS: Fast Partial Least Squares for High-Dimensional Data (Version 0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.fastPLS

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fastPLS version 0.4 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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