Constrained canonical correlation

Wayne S. DeSarbo, Robert E. Hausman, Shen Lin, Wesley Thompson

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


This paper explores some of the problems associated with traditional canonical correlation. A response surface methodology is developed to examine the stability of the derived linear functions, where one wishes to investigate how much the coefficients can change and still be in an e{open}-neighborhood of the globally optimum canonical correlation value. In addition, a discrete (or constrained) canonical correlation method is formulated where the derived coefficients of these linear functions are constrained to be in some small set, e.g., {1, 0, -1}, to aid in the interpretation of the results. An example concerning the psychographic responses of Wharton MBA students of the University of Pennsylvania regarding driving preferences and life-style considerations is provided.

Original languageEnglish (US)
Pages (from-to)489-516
Number of pages28
Issue number4
StatePublished - Dec 1982

All Science Journal Classification (ASJC) codes

  • General Psychology
  • Applied Mathematics


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