Abstract
A generalized least squares approach is presented for incorporating linear constraints on the standardized row and column scores obtained from a canonical analysis of a contingency table. The method is easy to implement and may simplify considerably the interpretation of a data matrix. The approach is compared to a restricted maximum likelihood procedure.
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The authors are indebted to Yoshio Takane for helpful comments on a previous draft of this manuscript.
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Böckenholt, U., Böcknholt, I. Canonical analysis of contingency tables with linear constraints. Psychometrika 55, 633–639 (1990). https://doi.org/10.1007/BF02294612
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DOI: https://doi.org/10.1007/BF02294612