Some Generalizations of Correspondence Analysis
نویسنده
چکیده
Correspondence analysis of a bivariate table has many diierent opti-mality properties. For instance, the scores computed by correspondence analysis linearize both regressions, and maximize the correlation coee-cient. We try to generalize both properties to the multivariate situation, using the concept of maximizing any aspect of the correlation matrix, and the concept of simultaneously linearizing all bivariate regressions.
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