POCRE
0.6.0Penalized Orthogonal-Components Regression
Overview
Penalized orthogonal-components regression (POCRE) is a supervised dimension reduction method for high-dimensional data. It sequentially constructs orthogonal components (with selected features) which are maximally correlated to the response residuals. POCRE can also construct common components for multiple responses and thus build up latent-variable models.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 85%
- Documented parameters
- 99%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
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Code & Tests
Datasets
People & History
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.6.0Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.5.02018-07-20
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-07-20
- Total releases
- 2 / 8 yrs
- License
- GPL-2 OSI
- Bundled data
- 2.3 MB / 5 files
- Download size
- 2.3 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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