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<head>
<title>Principal Component Analysis</title>
</head>
<p><strong>About PCA</strong></p>
<p>Principal components analysis is a technique for examining the
structure of complex data sets. The components are a set of dimensions
-formed from the measured values in the data set, and the principle
+formed from the measured values in the data set, and the principal
component is the one with the greatest magnitude, or length. The sets of
measurements that differ the most should lie at either end of this
-principle axis, and the other axes correspond to less extreme patterns
+principal axis, and the other axes correspond to less extreme patterns
of variation in the data set.</p>
<p>
git://source.jalview.org / jalview.git / blobdiff