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.
- canonical analysis
- restricted maximum likelihood
- singular value decomposition
ASJC Scopus subject areas
- Applied Mathematics