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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.
Getting started
Browse package contents
Package details |
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| Author | Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Yu-ting Chen |
| Maintainer | Dabao Zhang <zhangdb@purdue.edu> |
| License | GPL-2 |
| Version | 0.6.0 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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