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L’analyse des relations esp`eces—milieu par l’analyse canonique des correspondances. II. Variables de milieu qualitatives. Acta Œcolog. Œcolog. , 9, 137–151. ) 6. Palmer, M. W. (1993). Putting things in even better order: the advantages of canonical correspondence analysis. Ecology, 74, 2215–2230. (A simulation study comparing the results of CA, CCA, and detrended versions of both. ) 7. Rao, C. R. (1964). The use and interpretation of principal component analysis in applied research. Sankhya A, 26, 329–358.

The role of nodules in dichloroacetic acid-induced hepatocarcinogenesis in B6C3F1 male mice. Carcinogenesis, 12, 1383–1387. 56. Ries, L. A. , Eisner, M. , Kosary, C. , Hankey, B. , Miller, M. , and Edwards, B. , eds. (2001). SEER cancer statistic Review, 1973–1998, National Cancer Institute, Bethesda, Md. 57. Sherman, C. D. and Portier, C. J. (1994). The multipath/multistage model of carcinogenesis. Inf. Biomol. Epidemiol. Med. , 25, 250–254. 58. Spandido, D. A. and Wilkie, N. M. (1984). Malignant transformation of early passage rodent cells by a single mutated human oncogene H-ras-1 from T 24 bladder carcinoma line.

Biometrika, 46, 59–66. 18. Rao, C. R. (1955). Psychometrika, 20, 93–111. 19. Roy, S. N. (1947). Sankhya, 8, 177–191. 20. Schatzoff, M. (1966). Biometrika, 53, 347–358. 21. Thorndike, R. M. and Weiss, D. J. (1973). Educ. Psychol. , 33, 123–134. 22. Williams, E. J. (1967). J. R. Statist. Soc. B, 29, 199–242. FURTHER READING Anderson, T. W. (1984). ). Wiley, New York. (Chap. 12). Johnson, R. A. and Wichern, D. W. (1998). ). Prentice-Hall, Englewood Cliffs, NJ. (Chapter 10, with data analysis). See also DISCRIMINANT ANALYSIS; FACTOR ANALYSIS; GENERALIZED CANONICAL VARIABLES; GEOMETRY IN STATISTICS; LOG-LINEAR MODELS IN CONTINGENCY TABLES; and MULTIVARIATE ANALYSIS.

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