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<table width="100%" summary="page for anova.trls {spatial}"><tr><td>anova.trls {spatial}</td><td align="right">R Documentation</td></tr></table>
<h2>Anova tables for fitted trend surface objects</h2>
<h3>Description</h3>
<p>
Compute analysis of variance tables for one or more
fitted trend surface model objects; where <code>anova.trls</code> is
called with multiple objects, it passes on the arguments to
<code>anovalist.trls</code>.
</p>
<h3>Usage</h3>
<pre>
## S3 method for class 'trls':
anova(object, ...)
anovalist.trls(object, ...)
</pre>
<h3>Arguments</h3>
<table summary="R argblock">
<tr valign="top"><td><code>object</code></td>
<td>
A fitted trend surface model object from <code>surf.ls</code>
</td></tr>
<tr valign="top"><td><code>...</code></td>
<td>
Further objects of the same kind
</td></tr>
</table>
<h3>Value</h3>
<p>
<code>anova.trls</code> and <code>anovalist.trls</code> return objects corresponding
to their printed tabular output.</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="surf.ls.html">surf.ls</a></code>
</p>
<h3>Examples</h3>
<pre>
library(stats)
data(topo, package="MASS")
topo0 <- surf.ls(0, topo)
topo1 <- surf.ls(1, topo)
topo2 <- surf.ls(2, topo)
topo3 <- surf.ls(3, topo)
topo4 <- surf.ls(4, topo)
anova(topo0, topo1, topo2, topo3, topo4)
summary(topo4)
</pre>
<hr><div align="center">[Package <em>spatial</em> version 7.2-44 <a href="00Index.html">Index]</a></div>
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