POCRE (0.5.0)

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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.

Maintainer: Dabao Zhang
Author(s): Dabao Zhang, Zhongli Jiang, Zeyu Zhang

License: GPL-2

Uses: EbayesThresh, ggplot2, pracma

Released over 1 year ago.



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