guidedPLS
1.2.1Supervised Dimensional Reduction by Guided Partial Least Squares
Overview
Guided partial least squares (guided-PLS) is the combination of partial least squares by singular value decomposition (PLS-SVD) and guided principal component analysis (guided-PCA). This package provides implementations of PLS-SVD, guided-PLS, and guided-PCA for supervised dimensionality reduction. The guided-PCA function (new in v1.1.0) automatically handles mixed data types (continuous and categorical) in the supervision matrix and provides detailed contribution analysis for interpretability. For the details of the methods, see the reference section of GitHub README.md https://github.com/rikenbit/guidedPLS.
Install
Health
- WARNING r-oldrel-macos-x86_64
- WARNING r-release-macos-x86_64
- WARNING2026-06-2910 OK · 0 NOTE · 3 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 63%
Downloads
Repository
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Repository practices
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/rikenbit/guidedpls on 2026-08-16.
Development tooling
Uses AI-assisted development tooling (declared in repo)
Earliest detected marker: claude on 2026-05-30
Most recent: claude on 2026-05-30
- claude: on 2026-05-30 · evidence B, D
Dependencies
Nothing depends on this yet.
Code & Tests
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-03-22
- Total releases
- 4 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 271 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("guidedPLS")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
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For a number measured here: a download total, a coverage figure, an archival date.
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.