The CANCORR Procedure

Cooley, W. W., and Lohnes, P. R. (1971). Multivariate Data Analysis. New York: John Wiley & Sons.

Helland, I. S. (1987). “On the Interpretation and Use of in Regression Analysis.” Biometrics 43:61–69.

Hotelling, H. (1935). “The Most Predictable Criterion.” Journal of Educational Psychology 26:139–142.

Hotelling, H. (1936). “Relations between Two Sets of Variables.” Biometrika 28:321–377.

Kshirsagar, A. M. (1972). Multivariate Analysis. New York: Marcel Dekker.

Lawley, D. N. (1959). “Tests of Significance in Canonical Analysis.” Biometrika 46:59–66.

Mardia, K. V., Kent, J. T., and Bibby, J. M. (1979). Multivariate Analysis. London: Academic Press.

Rao, C. R. (1973). Linear Statistical Inference and Its Applications. 2nd ed. New York: John Wiley & Sons.

Stewart, D. K., and Love, W. A. (1968). “A General Canonical Correlation Index.” Psychological Bulletin 70:160–163.

Tatsuoka, M. M. (1971). Multivariate Analysis. New York: John Wiley & Sons.

Timm, N. H. (1975). Multivariate Analysis with Applications in Education and Psychology. Monterey, CA: Brooks/Cole.

Van den Wollenberg, A. L. (1977). “Redundancy Analysis: An Alternative to Canonical Correlation Analysis.” Psychometrika 42:207–219.

Wherry, R. J. (1931). “A New Formula for Predicting the Shrinkage of the Coefficient of Multiple Correlation.” Annals of Mathematical Statistics 2:440–457.