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+    <h1>Two component error model of Rocke and Lorenzato</h1>
+    </div>
+
+    
+    <p>Function describing the standard deviation of the measurement error 
+  in dependence of the measured value:</p>
+<p>\(sigma = sqrt(sigma_low^2 + y^2 * rsd_high^2)\)</p>
+    
+
+    <pre class="usage"><span class='fu'>sigma_rl</span>(<span class='no'>y</span>, <span class='no'>sigma_low</span>, <span class='no'>rsd_high</span>)</pre>
+    
+    <h2 class="hasAnchor" id="arguments"><a class="anchor" href="#arguments"></a> Arguments</h2>
+    <table class="ref-arguments">
+    <colgroup><col class="name" /><col class="desc" /></colgroup>
+    <tr>
+      <th>y</th>
+      <td><p>The magnitude of the observed value</p></td>
+    </tr>
+    <tr>
+      <th>sigma_low</th>
+      <td><p>The asymptotic minimum of the standard deviation for low observed values</p></td>
+    </tr>
+    <tr>
+      <th>rsd_high</th>
+      <td><p>The coefficient describing the increase of the standard deviation with 
+    the magnitude of the observed value</p></td>
+    </tr>
+    </table>
+    
+    <h2 class="hasAnchor" id="value"><a class="anchor" href="#value"></a>Value</h2>
+
+    <p>The standard deviation of the response variable.</p>
+    
+    <h2 class="hasAnchor" id="references"><a class="anchor" href="#references"></a>References</h2>
+
+    <p>Rocke, David M. und Lorenzato, Stefan (1995) A two-component model for
+  measurement error in analytical chemistry. Technometrics 37(2), 176-184.</p>
+    
+
+  </div>
+  <div class="col-md-3 hidden-xs hidden-sm" id="sidebar">
+    <h2>Contents</h2>
+    <ul class="nav nav-pills nav-stacked">
+      <li><a href="#arguments">Arguments</a></li>
+      
+      <li><a href="#value">Value</a></li>
+
+      <li><a href="#references">References</a></li>
+          </ul>
+
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