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<html><head><title>R: Plot Method for MVR objects</title>
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<table width="100%" summary="page for plot.mvr {pls}"><tr><td>plot.mvr {pls}</td><td align="right">R Documentation</td></tr></table>
<h2>Plot Method for MVR objects</h2>


<h3>Description</h3>

<p>
<code>plot.mvr</code> plots predictions, coefficients, scores, loadings,
biplots, correlation loadings or validation plots (RMSEP curves, etc.).
</p>


<h3>Usage</h3>

<pre>
## S3 method for class 'mvr':
plot(x, plottype = c("prediction", "validation", "coefficients",
                     "scores", "loadings", "biplot", "correlation"), ...)
</pre>


<h3>Arguments</h3>

<table summary="R argblock">
<tr valign="top"><td><code>x</code></td>
<td>
an object of class <code>mvr</code>.  The fitted model to plot.</td></tr>
<tr valign="top"><td><code>plottype</code></td>
<td>
character.  What kind of plot to plot.</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
further arguments, sent to the underlying plot functions.</td></tr>
</table>

<h3>Details</h3>

<p>
The function is simply a wrapper for the underlying plot functions
used to make the selected plots.  See <code><a href="predplot.html">predplot.mvr</a></code>,
<code><a href="validationplot.html">validationplot</a></code>, <code><a href="coefplot.html">coefplot</a></code>,
<code><a href="scoreplot.html">scoreplot</a></code>, <code><a href="scoreplot.html">loadingplot</a></code>,
<code><a href="biplot.mvr.html">biplot.mvr</a></code> or <code><a href="scoreplot.html">corrplot</a></code> for details.  Note
that all arguments except <code>x</code> and <code>plottype</code> must be named.
</p>


<h3>Value</h3>

<p>
<code>plot.mvr</code> returns whatever the underlying plot function returns.</p>

<h3>Author(s)</h3>

<p>
Ron Wehrens and Bj鴕n-Helge Mevik
</p>


<h3>See Also</h3>

<p>
<code><a href="mvr.html">mvr</a></code>, <code><a href="predplot.html">predplot.mvr</a></code>,
<code><a href="validationplot.html">validationplot</a></code>, <code><a href="coefplot.html">coefplot</a></code>,
<code><a href="scoreplot.html">scoreplot</a></code>, <code><a href="scoreplot.html">loadingplot</a></code>,
<code><a href="biplot.mvr.html">biplot.mvr</a></code>, <code><a href="scoreplot.html">corrplot</a></code>
</p>


<h3>Examples</h3>

<pre>
data(yarn)
nir.pcr &lt;- pcr(density ~ NIR, ncomp = 9, data = yarn, validation = "CV")
## Not run: 
plot(nir.pcr, ncomp = 5) # Plot of cross-validated predictions
plot(nir.pcr, "scores") # Score plot
plot(nir.pcr, "loadings", comps = 1:3) # The three first loadings
plot(nir.pcr, "coef", ncomp = 5) # Coefficients
plot(nir.pcr, "val") # RMSEP curves
plot(nir.pcr, "val", val.type = "MSEP", estimate = "CV") # CV MSEP
## End(Not run)
</pre>



<hr><div align="center">[Package <em>pls</em> version 2.0-1 <a href="00Index.html">Index]</a></div>

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