Double Principal Components Analysis for Categorical Data and its Application to a Migration Study

Raúl Alberto Pérez,  Lydia Lera &  Ana Boquet

 

 

Abstract

We adapted the double principal component analysis (DACP) (Bouroche 1975), developed for the analysis of three-dimensional quantitative data, to categorical data by mean of the Chi-squared distance between rows and columns profile of a contingency table and we carry out an application to a study of internal migration in Cuba. 

 

Key words: Double principal component analysis, Categorical data, Common structure.

 

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