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: 2022-03-16 17:48:42 UTC; admin-zhangdb
Repository: CRAN
Date/Publication: 2022-03-16 18:10:02 UTC
Built: R 4.5.3; ; 2026-06-22 04:04:03 UTC; windows
