One set of individuals, several sets of variables
When individuals are described by several sets of variables, several types of analyses are proposed:
- MFA (Multiple Factorial Analysis), for which the variables of a same group may be numerical or categorical.
- HMFA (Hierarchical Multiple Factorial Analysis), an extension of MFA for which variables are structured according to a hierarchy.
- GPA (Generalized Procustean Analysis), for which variables must be continuous.
One set of variables, several sets of individuals
When several sets of individuals are described by one set of continuous variables, the analysis proposed is an extension of MFA called Dual MFA.
One set of individuals, two types of variables
When one set of individuals is described by one set of variables that may be continuous and/or categorical, the analysis proposed is an particular case of MFA called Factor Analysis of Mixed Data.