Extensions of Correspondence Analysis for the Statistical Exploration of Multidimensional Contingency Tables

  • Renate Meyer
Conference paper


In this paper four different generalizations of canonical correlation analysis to Q ≥ 3 sets of random variables are proposed, their application to indicator variables is studied, and the resulting extensions of correspondence analysis (CA) to Q-dimensional contingency tables are presented. The determination of canonical variates leads to generalized eigenvalue problems which can be solved using a globally convergent algorithm, based on Watson’s iteration.


Correspondence Analysis Canonical Correlation Canonical Correlation Analysis Canonical Variate Generalize Eigenvalue Problem 
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Copyright information

© Springer-Verlag Berlin · Heidelberg 1989

Authors and Affiliations

  • Renate Meyer
    • 1
  1. 1.Institut für Medizinische Statistik und Dokumentation der RWTH AachenGermany

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