%0 Journal Article %1 escofier1994multiple %A Escofier, B. %A Pagès, J. %D 1994 %J Computational Statistics & Data Analysis %K CCA PCA factor_analysis methods statistics %N 1 %P 121 - 140 %R http://dx.doi.org/10.1016/0167-9473(94)90135-X %T Multiple factor analysis (AFMULT package) %U http://www.sciencedirect.com/science/article/pii/016794739490135X %V 18 %X Multiple Factor Analysis (MFA) studies several groups of variables (numerical and/or categorical) defined on the same set of individuals. \MFA\ approaches this kind of data according to many points of view already used in others methods as: factor analysis in which groups of variables are weighted, canonical analysis, Procrustes analysis, STATIS, INDSCAL. In MFA, these points of view are considered in a unique framework. This paper presents the different outputs provided by \MFA\ and an example about sensory analysis of wines.

@article{escofier1994multiple, abstract = {Multiple Factor Analysis (MFA) studies several groups of variables (numerical and/or categorical) defined on the same set of individuals. \{MFA\} approaches this kind of data according to many points of view already used in others methods as: factor analysis in which groups of variables are weighted, canonical analysis, Procrustes analysis, STATIS, INDSCAL. In MFA, these points of view are considered in a unique framework. This paper presents the different outputs provided by \{MFA\} and an example about sensory analysis of wines. }, added-at = {2014-10-27T21:47:03.000+0100}, author = {Escofier, B. and Pagès, J.}, biburl = {https://www.bibsonomy.org/bibtex/29c40395e2fb08bd140f6facc608055e0/peter.ralph}, doi = {http://dx.doi.org/10.1016/0167-9473(94)90135-X}, interhash = {30e7141045bed535b470efda919dccf0}, intrahash = {9c40395e2fb08bd140f6facc608055e0}, issn = {0167-9473}, journal = {Computational Statistics & Data Analysis }, keywords = {CCA PCA factor_analysis methods statistics}, number = 1, pages = {121 - 140}, timestamp = {2014-10-27T21:47:03.000+0100}, title = {Multiple factor analysis ({AFMULT} package) }, url = {http://www.sciencedirect.com/science/article/pii/016794739490135X}, volume = 18, year = 1994 }