OVERALS. Nonlinear canonical correlation with k sets of variables

Computational Statistics and Data Analysis

Volumn 18, Issue 1, 1994, Pages 141-163

  van der Burg, Eeke ^a   de Leeuw, Jan ^b   Dijksterhuis, Garmt ^c  

^a LEIDEN UNIVERSITY   (Netherlands)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c EIM Group   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0013385276     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/0167-9473(94)90136-8     Document Type: Article

References (34)

1. Generalization of canonical correlation analysis to three or more sets of variables
2. Covergence of the majorization method for multidimensional scaling
3. The permutational limit distribution of generalized canonical correlations
4. Beyond Homogeneity analysis
5. Correspondence analysis with least absulute residuals
6. Relations among m sets of measures
7. RELATIONS BETWEEN TWO SETS OF VARIATES
8. Canonical analysis of several sets of variables
9. Multidimensional scaling by optimizing goodnes of fit to a nonmetric hypothesis
10. New developments in psychometric and market research procedures
11. Multidimensional rotation and scaling of configurations to optimal agreement
12. Linear relations between k sets of variables
13. Non-linear canonical correlation†
14. Use of the multinomial jack-knife and bootstrap in generalized non-linear canonical correlation analysis
15. Nonlinear canonical correlation of multiway data
16. Homogeneity analysis with k sets of variables: An alternating least squares method with optimal scaling features
17. Quantitative analysis of qualitative data
18. Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features
19. The principal components of mixed measurement multivariate data: An alternating least squares method with optimal scaling features