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<table width="100%" summary="page for Harman.5"><tr><td>Harman.5</td><td align="right">R Documentation</td></tr></table>

<h2>5 socio-economic variables from Harman (1967)
</h2>

<h3>Description</h3>


<p>Harman (1967) uses 5 socio-economic variables for demonstrations of principal components and factor analysis.  This example is used in the SAS manual for Proc Factor as well.</p>


<h3>Usage</h3>

<pre>data(Harman.5)</pre>


<h3>Format</h3>


<p>A data frame with 12 observations on the following 5 variables.
</p>

<dl>
<dt><code>population</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>schooling</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>employment</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>professional</code></dt><dd><p>a numeric vector</p>
</dd>
<dt><code>housevalue</code></dt><dd><p>a numeric vector</p>
</dd>
</dl>



<h3>Details</h3>


<p>Harman reports that the data &quot;were taken (not entirely arbitrarily) from a study of the Los Angeles Standard Metropolitan Statistical Area.  The twelve individuals are used in the examples are census tracts.&quot; (p 13).
</p>


<h3>Source</h3>


<p>Harman, Harry Horace (1967), Modern factor analysis. Chicago, University of Chicago Press. </p>


<h3>References</h3>


<p>SAS users manual, chapter 26: pages 1123-1192</p>


<h3>Examples</h3>

<pre>
data(Harman.5)
pc2 &lt;- principal(Harman.5,2,scores=TRUE)
pc2$residual
biplot(pc2,main="Biplot of the Harman 5 socio-demographic variables")
</pre>


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