<p>I edited the wiki for <a href="https://stats.stackexchange.com/questions/tagged/lars" class="post-tag" title="show questions tagged &#39;lars&#39;" rel="tag">lars</a>.  It now reads:</p>
<blockquote>
<p><a href="https://en.wikipedia.org/wiki/Least-angle_regression" rel="nofollow noreferrer">LARS</a> is an extension of the LASSO, which constrains regression coefficients to no more than a possible absolute sum. The LARS algorithm can be understood as reestimating the regression model step by step while slowly relaxing the LASSO constraint.</p>
<p>The result of this is analogous to a forward selection selection algorithm in that the first variable included would be the one most strongly associated with the response, and as the constraint is relaxed, additional variables would be included in descending order of their strength of association.</p>
</blockquote>
<p>Specifically,</p>
<ol>
<li>I switched &quot;reestimating&quot; for &quot;recalculating&quot;.</li>
<li>I added a link to the Wikipedia page.</li>
<li>I added a paragraph break.</li>
<li>I changed &quot;stepwise&quot; to &quot;selection&quot; (which is more correct), and explained the way in which they are analogous.</li>
<li>And, I dropped the discussion of their relative validity.</li>
</ol>
