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Compute PCA of an nxp data matrix X. If scale is True, normalize centered columns of X by their standard deviation. Returns: scores: nxp matrix of scores of each observation eigenvalues: sample covariance matrix eigenvalues loadings: pxp matrix of loadings |
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