Penalized orthogonal-components regression for large p small n data     Empirical Bayes thresholding  Latent-variable model  Sparse predictors  Supervised dimension reduction       font style='font-size:12px;'> 2009/9/16

Here we propose a penalized orthogonal-components regression (POCRE) for large $p$ small $n$ data. Orthogonal components are sequentially constructed to maximize, upon standardization, their correlati...

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