Marie Chavent and Vanessa Kuentz and Benoit Liquet and Jerome
Saracco
Cluster analysis of a set of variables. Variables can be
quantitative, qualitative or a mixture of both.

Marie Chavent and Vanessa Kuentz and Benoit Liquet and Jerome Saracco
Cluster analysis of a set of variables. Variables can be quantitative, qualitative or a mixture of both.

c(person("Marie", "Chavent", role = c("aut", "cre"),
email = "Marie.Chavent@u-bordeaux.fr"),
person("Vanessa", "Kuentz", role = "aut"),
person("Benoit", "Liquet", role = "aut"),
person("Jerome", "Saracco", role = "aut"))
Marie Chavent [aut, cre],
Vanessa Kuentz [aut],
Benoit Liquet [aut],
Jerome Saracco [aut]

Clustering of variables around Latent Variables
This package provides a set of function that allows us to cluster a set of variables
around Latent Variables. Each group is associated with a latent variable.
External variables measured on the same observations or/and additional information on the
variables can be taken into account.

This package provides a set of functions that allows us to cluster a set of variables
around Latent Variables. Each group is associated with a latent variable.
External variables measured on the same observations or/and additional information on the
variables can be taken into account.

This package provides a set of functions that allows us to cluster
a set of variables around Latent Variables. Each group is associated with a
latent variable. External variables measured on the same observations
or/and additional information on the variables can be taken into account.

Clustering of Variables Around Latent Variables
Functions for the clustering of variables around Latent Variables. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable.
External variables measured on the same observations or/and additional information on the variables can be taken into account.

c(person("Evelyne", "Vigneau", email = "evelyne.vigneau@oniris-nantes.fr", role = c("aut", "cre")),
person("Mingkun", "Chen", role = c("ctb")))
Evelyne Vigneau [aut, cre],
Mingkun Chen [ctb]
Functions for the clustering of variables around Latent Variables. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable.
External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also de defined.