In this paper we study the dependence relationship among a response and two or more predictor variables in a flattened contingency table. Considering ordinal categorical variables, the main aim is to preserve the ordinal compliance of categories by using a monotone function and optimal scaling for the first axis and Partial Least Squares for the remaining ones.
Joint Non-Symmetric Correspondence Analysis with Ordered Categories
AMENTA P.
2002-01-01
Abstract
In this paper we study the dependence relationship among a response and two or more predictor variables in a flattened contingency table. Considering ordinal categorical variables, the main aim is to preserve the ordinal compliance of categories by using a monotone function and optimal scaling for the first axis and Partial Least Squares for the remaining ones.File in questo prodotto:
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