prm.mht
来自「prm,是一中对奇异样本不敏感的,偏最小二乘回归方法,已经有很多文章根据这个算法」· MHT 代码 · 共 51 行
MHT
51 行
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Subject:
Date: Thu, 18 Dec 2008 20:56:10 +0800
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charset="utf-8"
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Content-Location: http://www.chemometrix.ua.ac.be/dl/prm.php
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=EF=BB=BF<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Transitional//EN">
<HTML><HEAD>
<META http-equiv=3DContent-Type content=3D"text/html; charset=3Dutf-8">
<META content=3D"MSHTML 6.00.2900.5694" name=3DGENERATOR></HEAD>
<BODY>
<TABLE cellSpacing=3D0 cellPadding=3D0 width=3D"98%" align=3Dright =
border=3D0>
<TBODY>
<TR>
<TD style=3D"COLOR: #000066" colSpan=3D2><I>On this page you can =
download the=20
(Octave) M-file for partial robust M-regression. Partial robust=20
M-regression is a new robust variant to PLS. Matlab users should =
possibly=20
change some lines (such as deletion of the "endfunction" =
statements) in=20
order to make it run. <BR><BR></I></TD></TR>
<TR>
<TD colSpan=3D2> <BR></TD></TR>
<TR>
<TD>Program for PRM</TD>
<TD><A class=3Durl=20
href=3D"http://www.chemometrix.ua.ac.be/dl/prm.m">m</A></TD></TR>
<TR>
<TD colSpan=3D2> <BR></TD></TR>
<TR>
<TD colSpan=3D2> <BR></TD></TR></TR>
<TR>
<TD style=3D"COLOR: #000066" colSpan=3D2><I>As a dependency, PRM =
needs the=20
file L1median.m which computes the spatial median. An Octave=20
M-implementation is given below. <BR><BR></I></TD></TR>
<TR>
<TD colSpan=3D2> <BR></TD></TR>
<TR>
<TD>Program for the L1 median</TD>
<TD><A class=3Durl=20
=
href=3D"http://www.chemometrix.ua.ac.be/dl/l1median.m">m</A></TD></TR></T=
R></TBODY></TABLE></BODY></HTML>
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