Abstract
The main object of the present paper is to review the problems of formulating and testing the hypothesis of redundancy of some variables in each of various multivariate situations, including multivariate regression model, multivariate inverse regression model, discriminant analysis, covariate discriminant analysis, multivariate growth curve model, canonical correlation analysis, principal component analysis. The hypothesis in each of multivariate situations are formulated from three different approaches. Two alternative tests as well as the LR test are given.
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