Generalized Regression on Orthogonal Components
Overview
Robust multiple or multivariate linear regression, nonparametric regression on orthogonal components, classical or robust partial least squares models as described in Bilodeau, Lafaye De Micheaux and Mahdi (2015) doi:10.18637/jss.v065.i01.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 15 (1 internal)
- Examples that run
- 82%9 run in a plain check · 2 never run
- Exported functions with examples
- 82%
- Documented parameters
- 94%
- Return-value docs
- 91%
- Help pages citing references
- 80%
Downloads
Dependencies
Installing groc adds 6 packages (4 with compiled code, 9.1 MB of source tarballs). Heaviest: pls 4.2 MB, robustbase 2.2 MB, rrcov 1.5 MB.
Code & Tests
Datasets
People & History
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Maintainer since 1.0 (2013)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0.10Latest
- RR 4.4.0 released · 2024-04-24
- 1.0.9
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.0.82020-12-18 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.0.7
- RR 3.6.0 released · 2019-04-26
- 1.0.62018-05-10 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
Package metadata
- First published
- 2014-02-01
- Total releases
- 10 / 12 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 2.10.0
- Bundled data
- 172 KB / 2 files
- Download size
- 204 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("groc")The package provides a citation file, so citation() returns the authors' own entry.
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