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POCRE

Penalized Orthogonal-Components Regression

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.

Versions across snapshots

VersionRepositoryFileSize
0.6.0 rolling linux/jammy R-4.5 POCRE_0.6.0.tar.gz 2.4 MiB
0.6.0 rolling linux/noble R-4.5 POCRE_0.6.0.tar.gz 2.4 MiB
0.6.0 rolling source/ R- POCRE_0.6.0.tar.gz 2.3 MiB
0.6.0 latest linux/jammy R-4.5 POCRE_0.6.0.tar.gz 2.4 MiB
0.6.0 latest linux/noble R-4.5 POCRE_0.6.0.tar.gz 2.4 MiB
0.6.0 latest source/ R- POCRE_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-26 source/ R- POCRE_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-23 source/ R- POCRE_0.6.0.tar.gz 2.3 MiB
0.6.0 2026-04-09 windows/windows R-4.5 POCRE_0.6.0.zip 2.4 MiB
0.6.0 2025-04-20 source/ R- POCRE_0.6.0.tar.gz 2.3 MiB

Dependencies (latest)

Imports