The CANCORR Procedure |

Cooley, W. W. and Lohnes, P. R. (1971),

*Multivariate Data Analysis*, New York: John Wiley & Sons.Fisher, R. A. (1938),

*Statistical Methods for Research Workers*, Tenth Edition, Edinburgh: Oliver & Boyd.Hanson, R. J. and Norris, M. J. (1981), "Analysis of Measurements Based on the Singular Value Decomposition,"

*SIAM Journal of Scientific and Statistical Computing*, 2, 363–373.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.Mulaik, S. A. (1972),

*The Foundations of Factor Analysis*, New York: McGraw-Hill.Rao, C. R. (1964), "The Use and Interpretation of Principal Component Analysis in Applied Research,"

*Sankhya A*, 26, 329–358.Rao, C. R. (1973),

*Linear Statistical Inference*, 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.Thompson, B. (1984), "Canonical Correlation Analysis," Sage University Paper series in Quantitative Applications in the Social Sciences, 07-047, Beverly Hills and London: Sage Publications.

Timm, N. H. (1975),

*Multivariate Analysis*, 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.

Copyright © 2009 by SAS Institute Inc., Cary, NC, USA. All rights reserved.