Multiple factor analysis (AFMULT package)
B Escofier, J Pages - Computational statistics & data analysis, 1994 - Elsevier
B Escofier, J Pages
Computational statistics & data analysis, 1994•ElsevierAbstract 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 …
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 …
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.
Elsevier
