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<table width="100%" summary="page for solder"><tr><td>solder</td><td align="right">R Documentation</td></tr></table>

<h2>Soldering of Components on Printed-Circuit Boards</h2>

<h3>Description</h3>


<p>The <code>solder</code> data frame has 720 rows and 6 columns, representing
a balanced subset of a designed experiment varying 5 factors on the
soldering of components on printed-circuit boards.
</p>


<h3>Usage</h3>

<pre>
solder
</pre>


<h3>Format</h3>


<p>This data frame contains the following columns:
</p>

<dl>
<dt><code>Opening</code></dt><dd>
<p>a factor with levels
<span class="samp">L</span>, <span class="samp">M</span> and <span class="samp">S</span>
indicating the amount of clearance around the mounting pad.
</p>
</dd>
<dt><code>Solder</code></dt><dd>
<p>a factor with levels
<span class="samp">Thick</span> and <span class="samp">Thin</span>
giving the thickness of the solder used.
</p>
</dd>
<dt><code>Mask</code></dt><dd>
<p>a factor with levels
<span class="samp">A1.5</span>, <span class="samp">A3</span>, <span class="samp">B3</span> and <span class="samp">B6</span>
indicating the type and thickness of mask used.
</p>
</dd>
<dt><code>PadType</code></dt><dd>
<p>a factor with levels <span class="samp">D4</span>, <span class="samp">D6</span>, <span class="samp">D7</span>, <span class="samp">L4</span>,
<span class="samp">L6</span>, <span class="samp">L7</span>, <span class="samp">L8</span>, <span class="samp">L9</span>, <span class="samp">W4</span> and <span class="samp">W9</span>
giving the size and geometry of the mounting pad.
</p>
</dd>
<dt><code>Panel</code></dt><dd>
<p><code>1:3</code> indicating the panel on a board being tested.
</p>
</dd>
<dt><code>skips</code></dt><dd>
<p>a numeric vector giving the number of visible solder skips.
</p>
</dd>
</dl>


<h3>Source</h3>


<p>John M. Chambers and Trevor J. Hastie eds. (1992)
<EM>Statistical Models in S</EM>, Wadsworth and Brooks/Cole,
Pacific Grove, CA.
</p>


<h3>Examples</h3>

<pre>
fit &lt;- rpart(skips ~ Opening + Solder + Mask + PadType + Panel,
             data = solder, method = "anova")
summary(residuals(fit))
plot(predict(fit), residuals(fit))
</pre>


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