While there exist several criteria by which to select a reasonable subset of variables in the context of PCA, we introduce herein variable selection using criteria in Tanaka and Mori (1997)'s modified PCA (M.PCA) among others. In order to perform such variable selection via XploRe, the quantlib vaspca, which reads all the necessary quantlets for selection, is first called, and then the quantlet mpca is run using a number of selection parameters. In the first four sections we present brief explanations of variable selection in PCA, an outline of M.PCA and flows of four selection procedures, based mainly on Tanaka and Mori (1997)'s, Mori (1997), Mori, Tarumi and Tanaka (1998) and Iizuka et al. (2002a). In the last two sections, we illustrate the quantlet mpca and its performance by two numerical examples.
|Title of host publication||Statistical Methods for Biostatistics and Related Fields|
|Publisher||Springer Berlin Heidelberg|
|Number of pages||19|
|Publication status||Published - Dec 1 2007|
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