Diagnostics in Multivariate Data Analysis: Sensitivity Analysis for Principal Components and Canonical Correlations
Sensitivity analysis procedures are formulated for principal component and canonical correlation analyses based on Cook’s local influence (Cook, 1986). The relationships are discussed between the results of the procedures based on the local influence and those based on the influence functions. A numerical example is shown to illustrate the procedure for canonical correlation analysis.
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