Skip Navigation

Biometrika 1971 58(3):433-451; doi:10.1093/biomet/58.3.433
© 1971 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by KETTENRING, J. R.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Canonical analysis of several sets of variables

J. R. KETTENRING

Bell Telephone Laboratories Murray Hill

Five extensions of the classical two-set theory of canonical correlation analysis to three or more sets are considered. For each one, a model of the general principal component type is constructed to aid in motivating, comparing and understanding the methods. Procedures are developed for finding the canonical variables associated with the different approaches. Some practical considerations and an example are also included.

Key Words: Canonical analysis • Canonical correlations • Multivariate analysis of several sets of variates • Sum of correlations method • Sum of squared correlations method • Generalized variance method • Factor analysis • Higher-order canonical variates


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Journal of the Academy of Marketing ScienceHome page
P. E. Green and J. D. Carroll
A Simple Procedure for Finding a Composite of Several Multidimensional Scaling Solutions
Journal of the Academy of Marketing Science, January 1, 1988; 16(1): 25 - 35.
[Abstract] [PDF]


Home page
Applied Psychological MeasurementHome page
W. J. Heiser and J. Meulman
Constrained Multidimensional Scaling, Including Confirmation
Applied Psychological Measurement, September 1, 1983; 7(4): 381 - 404.
[Abstract]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.