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抄録
We propose a cross-validatory method to choose the number of principal components in principal component regression based on the predicted error sum of squares. In the process of computation, we propose to use an approximation formula using a linear approximation based on the perturbation expansion. A numerical example is given to show the validity of the proposed method.
