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<h1>Calibration data from DIN 32645</h1>
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+ <div class="hidden name"><code>din32645.Rd</code></div>
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+ <div class="ref-description">
<p>Sample dataset to test the package.</p>
+ </div>
<pre class="usage"><span class='fu'>data</span>(<span class='no'>din32645</span>)</pre>
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<h2 class="hasAnchor" id="examples"><a class="anchor" href="#examples"></a>Examples</h2>
<pre class="examples"><div class='input'><span class='fu'>data</span>(<span class='no'>din32645</span>)
<span class='no'>m</span> <span class='kw'>&lt;-</span> <span class='fu'>lm</span>(<span class='no'>y</span> ~ <span class='no'>x</span>, <span class='kw'>data</span> <span class='kw'>=</span> <span class='no'>din32645</span>)
-<span class='fu'>calplot</span>(<span class='no'>m</span>)</div><div class='img'><img src='din32645-1.png' alt='' width='700' height='432.632880098887' /></div><div class='input'>
+<span class='fu'>calplot</span>(<span class='no'>m</span>)</div><div class='img'><img src='din32645-1.png' alt='' width='700' height='433' /></div><div class='input'>
<span class='co'>## Prediction of x with confidence interval</span>
(<span class='no'>prediction</span> <span class='kw'>&lt;-</span> <span class='fu'>inverse.predict</span>(<span class='no'>m</span>, <span class='fl'>3500</span>, <span class='kw'>alpha</span> <span class='kw'>=</span> <span class='fl'>0.01</span>))</div><div class='output co'>#&gt; $Prediction
#&gt; [1] 0.1054792
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