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	<title>Comments on: use linear algebra to fit a line in matlab</title>
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	<description>tricks!</description>
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		<title>By: Will Dwinnell</title>
		<link>http://desk.stinkpot.org:8080/tricks/index.php/2007/10/use-linear-algebra-to-fit-a-line-in-matlab/comment-page-1/#comment-8522</link>
		<dc:creator>Will Dwinnell</dc:creator>
		<pubDate>Wed, 14 Nov 2007 11:53:32 +0000</pubDate>
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		<description>It is even simpler to construct a least-squares fit using MATLAB&#039;s backslash operator, &#039;\&#039;.  See, for instance:

Linear Regression in MATLAB
http://matlabdatamining.blogspot.com/2007/04/linear-regression-in-matlab.html

Also: Alternatives to the least-squares fit may be of interest, such as the least absolute errors (also called &quot;L-1&quot;) fit: 

L-1 Linear Regression
http://matlabdatamining.blogspot.com/2007/10/l-1-linear-regression.html


-Will Dwinnell</description>
		<content:encoded><![CDATA[<p>It is even simpler to construct a least-squares fit using MATLAB&#8217;s backslash operator, &#8216;\&#8217;.  See, for instance:</p>
<p>Linear Regression in MATLAB<br />
<a href="http://matlabdatamining.blogspot.com/2007/04/linear-regression-in-matlab.html" rel="nofollow">http://matlabdatamining.blogspot.com/2007/04/linear-regression-in-matlab.html</a></p>
<p>Also: Alternatives to the least-squares fit may be of interest, such as the least absolute errors (also called &#8220;L-1&#8243;) fit: </p>
<p>L-1 Linear Regression<br />
<a href="http://matlabdatamining.blogspot.com/2007/10/l-1-linear-regression.html" rel="nofollow">http://matlabdatamining.blogspot.com/2007/10/l-1-linear-regression.html</a></p>
<p>-Will Dwinnell</p>
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