Functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. 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 be defined.

Clustering of Variables Around Latent Variables

package-ubuntu-20.04-r-4.0.5#cran#ClustVarLV-2.0.1

## S3 method for class 'clv3w'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p>an object of class <code>clv3w</code></p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Additional arguments passed on to the real <code>print</code>.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#ClustVarLV-2.0.1#docs#print.clv3w

`x`	an object of class `clv3w`
`...`	Additional arguments passed on to the real `print`.

print.clv3w

Description

Usage

Arguments

See Also

ClustVarLV

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