predict.mca.html

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<html><head><title>R: Predict Method for Class 'mca'</title>
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<table width="100%" summary="page for predict.mca {MASS}"><tr><td>predict.mca {MASS}</td><td align="right">R Documentation</td></tr></table>
<h2>Predict Method for Class 'mca'</h2>


<h3>Description</h3>

<p>
Used to compute coordinates for additional rows or additional factors
in a multiple correspondence analysis.
</p>


<h3>Usage</h3>

<pre>
## S3 method for class 'mca':
predict(object, newdata, type = c("row", "factor"), ...)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
An object of class <code>"mca"</code>, usually the result of a call to <code>mca</code>.
</td></tr>
<tr valign="top"><td><code>newdata</code></td>
<td>
A data frame containing <EM>either</EM> additional rows of the factors used to
fit <code>object</code> <EM>or</EM> additional factors for the cases used in the
original fit.
</td></tr>
<tr valign="top"><td><code>type</code></td>
<td>
Are predictions required for further rows or for new factors?
</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
Additional arguments from <code>predict</code>: unused.
</td></tr>
</table>

<h3>Value</h3>

<p>
If <code>type = "row"</code>, the coordinates for the additional rows.
<br>
If <code>type = "factor"</code>, the coordinates of the column vertices for the
levels of the new factors.</p>

<h3>References</h3>

<p>
Venables, W. N. and Ripley, B. D. (2002)
<EM>Modern Applied Statistics with S.</EM> Fourth edition.  Springer.
</p>


<h3>See Also</h3>

<p>
<code><a href="mca.html">mca</a></code>, <code><a href="plot.mca.html">plot.mca</a></code>
</p>



<hr><div align="center">[Package <em>MASS</em> version 7.2-44 <a href="00Index.html">Index]</a></div>

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