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, Second Edition, 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.