The CANCORR Procedure

References

  • 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 $R^2$ 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.