Robust multivariate analysis tries to find methods that give good results for multivariate analysis for a large group of underlying distributions and that are useful for detecting certain types of outliers. An object oriented framework for robust multivariate analysis valentin todorov unido peter filzmoser vienna university of technology abstract this introduction to the r package rrcov is a slightly modi ed version oftodorov and. The text develops among the first practical robust regression and robust multivariate location and dispersion estimators backed by theory the robust techniques are illustrated for methods such as principal component analysis canonical correlation analysis and factor analysis. Multivariate analysis of variance manova could be used to test this hypothesis test is robust to non normality if the non normality is caused cooley ww and p r lohnes 1971 multivariate data analysis john wiley sons inc george h dunteman 1984 introduction to multivariate analysis
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