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📄 prm.mht

📁 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写出来了.使用时记得要引用chemlab上的文献.
💻 MHT
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From: <由 Microsoft Internet Explorer 5 保存>
Subject: 
Date: Thu, 18 Dec 2008 20:56:10 +0800
MIME-Version: 1.0
Content-Type: text/html;
	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">
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<META http-equiv=3DContent-Type content=3D"text/html; charset=3Dutf-8">
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<BODY>
<TABLE cellSpacing=3D0 cellPadding=3D0 width=3D"98%" align=3Dright =
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  <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>&nbsp;<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>&nbsp;<BR></TD></TR>
  <TR>
    <TD colSpan=3D2>&nbsp;<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>&nbsp;<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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