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| decathlon | Performance in decathlon (data) |
| flower | Flower Characteristics |
| gironde | gironde |
| Lg | Coefficient Lg |
| Lg.pond | Coefficient Lg with ponderation |
| MFAmix | Multiple factor analysis of mixed data |
| PCAmix | Principal component analysis of mixed data |
| PCArot | Varimax rotation in PCAmix |
| plot.MFAmix | Graphical outputs of MFAmix |
| plot.PCAmix | Graphical outputs of PCAmix and PCArot |
| predict.MFAmix | Prediction of new scores in MFAmix |
| predict.PCAmix | Prediction of new scores in PCAmix or PCArot |
| print.MFAmix | Print a 'MFAmix' object |
| print.PCAmix | Print a 'PCAmix' object |
| recod | Recoding of the data matrices |
| recodqual | Recoding of the qualitative data matrix. |
| recodquant | Recoding of the quantitative data matrix |
| RV | Coefficient RV |
| RV.pond | Coefficient RV with ponderation |
| sol.2dim | Varimax rotation for PCAmix in two dimensions |
| splitgroups | splitgroups |
| splitmix | splitmix |
| summary.MFAmix | Summary of a 'MFAmix' object |
| summary.PCAmix | Summary of a 'PCAmix' object |
| svd.triplet | Singular Value Decomposition of a Matrix |
| tab.disjonctif.NA | Built an indicator matrix |
| vnf | User satisfaction survey with 1232 individuals and 14 questions |
| wine | Wine |