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.
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- 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
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Code & tests
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Functions
28 7 exported
Complexity
6.1 avg / 15 max
Call network
28 nodes / 25 edges
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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
- 0.6.0Latest2022-03-16 · current release
- 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
Package metadata
- First published
- 2018-07-20
- Total releases
- 2 / 8 yrs
- License
- GPL-2 OSI
- Download size
- not tracked yet
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