apples_sh |
apples from southern hemisphere data set |

AUPA_psycho |
Psychological eating behavior data set |

authen_NMR |
Authentication data set/ NMR spectra |

block.scale |
Scaling of a three-way array |

boot_clv |
Boostrapping for assessing the stability of a CLV result |

ciders |
ciders data |

CLV |
Hierarchical clustering of variables with consolidation |

CLV3W |
Hierarchical clustering of variables (associated with mode 2 three-way array) with consolidation |

CLV3W_kmeans |
Partitioning algorithm of a set of variables (associated with mode 2) oh a three-way array |

CLV_kmeans |
K-means algorithm for the clustering of variables |

coffee |
coffee data |

data_biplot |
biplot for the dataset |

get_comp |
latent components associated with each cluster |

get_loading |
Loadings of the variables on the latent component, in each cluster. |

get_partition |
clusters memberships for a partition into K clusters. |

get_weight |
Weights of the external variables, or additional mode, on the latent component in each cluster. |

imput_clv |
Imputation of a data matrix based on CLV results |

LCLV |
L-CLV for L-shaped data |

lm_CLV |
linear model based on CLV |

plot.clv |
Graphical representation of the CLV clustering stages |

plot.clv3w |
Graphical representation of the CLV3W hierarchical clustering stages |

plot.lclv |
Graphical representation of the LCLV clustering stages |

plot_var |
Representation of the variables and their group membership |

plot_var.clv3w |
Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed. |

predict.lmclv |
prediction for lmCLV models. |

print.clv |
Print the CLV results |

print.clv3w |
Print the CLV3W results |

print.lclv |
Print the LCLV results |

stand_quali |
Standardization of the qualitative variables |

summary.clv |
summary and description of the clusters of variables |

summary.clv3w |
Summary and description of the clusters of (mode 2) variables associated with CLV3W or CLV3W_kmeans |