Dimension Reduction, Regression and Discrimination for Chemometrics
Overview
Data exploration and prediction with focus on high dimensional data and chemometrics. The package was initially designed about partial least squares regression and discrimination models and variants, in particular locally weighted PLS models (LWPLS). Then, it has been expanded to many other methods for analyzing high dimensional data. The name 'rchemo' comes from the fact that the package is orientated to chemometrics, but most of the provided methods are fully generic to other domains. Functions such as transform(), predict(), coef() and summary() are available. Tuning the predictive models is facilitated by generic functions gridscore() (validation dataset) and gridcv() (cross-validation). Faster versions are also available for models based on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).
- New functions : consensuspca, covsellm, covselrda, covsellda, covselqda
- Function changes : "Xscaling" and "Yscaling" arguments added to covsel instead of "scaly"
- bugfix : R/lda.R; R/qda.R; R/r2.R
- New vignettes : mbplsda, soplsda
- New data : Zhang2023
From inst/NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK, 1 FAILURE2026-06-08
- ERROR12 OK, 1 ERROR2026-06-07
- OK12 OK2026-04-25
Show 1 earlier changeHide 1 earlier change
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 90
- Examples that run
- 99%89 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- not tracked
- Help pages citing references
- 43%
Downloads
Repository
- PRs merged (all time)
- 97%
- Median days to close, 50 most recently updated closed issues
- not measured
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
PRs over time
3 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/chemhouse-group/rchemo on 2026-10-18.
Dependencies
Installing rchemo adds 5 packages (5 with compiled code, 8.0 MB of source tarballs). Heaviest: data.table 5.7 MB, signal 1.9 MB, e1071 311 KB.
Code & Tests
Datasets
People & History
Package metadata
- First published
- 2023-05-12
- Total releases
- 4 / 3 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 3.3 MB / 6 files
- Download size
- 5.4 MB
Cite
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Run in R for the authors' preferred citation:
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