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

<h2>Aircraft Data</h2>

<h3>Description</h3>


<p>Aircraft Data, deals with 23 single-engine aircraft built
over the years 1947-1979, from Office of Naval Research.
The dependent variable is cost  (in units of \$100,000)
and the explanatory variables are aspect ratio, lift-to-drag ratio,
weight of plane (in pounds) and maximal thrust.
</p>


<h3>Usage</h3>

<pre>data(aircraft)</pre>


<h3>Format</h3>


<p>A data frame with 23 observations on the following 5 variables.
</p>

<dl>
<dt><code>X1</code></dt><dd><p>Aspect Ratio</p>
</dd>
<dt><code>X2</code></dt><dd><p>Lift-to-Drag Ratio</p>
</dd>
<dt><code>X3</code></dt><dd><p>Weight</p>
</dd>
<dt><code>X4</code></dt><dd><p>Thrust</p>
</dd>
<dt><code>Y</code></dt><dd><p>Cost</p>
</dd>
</dl>



<h3>Source</h3>


<p>P. J. Rousseeuw and A. M. Leroy (1987)
<EM>Robust Regression and Outlier Detection</EM>;
Wiley, page 154, table 22.
</p>


<h3>Examples</h3>

<pre>
data(aircraft)
summary( lm.airc &lt;-        lm(Y ~ ., data = aircraft))
summary(rlm.airc &lt;- MASS::rlm(Y ~ ., data = aircraft))

aircraft.x &lt;- data.matrix(aircraft[,1:4])
c_air &lt;- covMcd(aircraft.x)
c_air
</pre>


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