title: A Canonical Cautionary.
abstract: A cautionary tale demonstrates that relationships between linear composites of variables can be identified via canonical correlation analysis, providing that the resulting canonical variates are interpreted on the basis of the canonical-variate weights (the combining weights used in computing scores on the canonical variates) and not on the basis of the structure coefficients (the correlations of the original variables with the canonical variates).
authors.forename: R J
authors.initials: RJ
authors.lastname: Harris