|apples from southern hemisphere data set
|Psychological eating behavior data set
|Authentication data set/ NMR spectra
|Scaling of a three-way array
|Boostrapping for assessing the stability of a CLV result
|Hierarchical clustering of variables with consolidation
|Hierarchical clustering of variables (associated with mode 2 three-way array) with consolidation
|Partitioning algorithm of a set of variables (associated with mode 2) oh a three-way array
|K-means algorithm for the clustering of variables
|biplot for the dataset
|latent components associated with each cluster
|Loadings of the variables on the latent component, in each cluster.
|clusters memberships for a partition into K clusters.
|Weights of the external variables, or additional mode, on the latent component in each cluster.
|Imputation of a data matrix based on CLV results
|L-CLV for L-shaped data
|linear model based on CLV
|Graphical representation of the CLV clustering stages
|Graphical representation of the CLV3W hierarchical clustering stages
|Graphical representation of the LCLV clustering stages
|Representation of the variables and their group membership
|Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed.
|prediction for lmCLV models.
|Print the CLV results
|Print the CLV3W results
|Print the LCLV results
|Standardization of the qualitative variables
|summary and description of the clusters of variables
|Summary and description of the clusters of (mode 2) variables associated with CLV3W or CLV3W_kmeans