Package: POCRE
Title: Penalized Orthogonal-Components Regression
Version: 0.6.0
Date: 2022-03-15
Author: Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Yu-ting Chen
Maintainer: Dabao Zhang <zhangdb@purdue.edu>
Description: 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.
Imports: stats,utils,ggplot2 (>= 2.2.0),pracma,EbayesThresh
License: GPL-2
NeedsCompilation: no
Packaged: 2026-07-12 07:11:34 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2022-03-16 17:10:02 UTC
RemoteUrl: https://github.com/cran/POCRE
RemoteRef: HEAD
RemoteSha: 7f0639d46c85759baf2747f6fc4e742da54b0032