<?xml version="1.0" encoding="utf-8"?><!DOCTYPE article  PUBLIC '-//OASIS//DTD DocBook XML V4.4//EN'  'http://www.docbook.org/xml/4.4/docbookx.dtd'><article><articleinfo><title>FAQ/condnoR</title><revhistory><revision><revnumber>4</revnumber><date>2013-03-08 10:17:18</date><authorinitials>localhost</authorinitials><revremark>converted to 1.6 markup</revremark></revision><revision><revnumber>3</revnumber><date>2007-02-14 16:43:18</date><authorinitials>PeterWatson</authorinitials></revision><revision><revnumber>2</revnumber><date>2007-02-14 16:43:04</date><authorinitials>PeterWatson</authorinitials></revision><revision><revnumber>1</revnumber><date>2007-02-14 16:42:13</date><authorinitials>PeterWatson</authorinitials></revision></revhistory></articleinfo><section><title>Condition number in R</title><para>The condition number is the ratio of the largest to the smallest eigenvalue of a matrix. It is used in assessing multicollinearity. See an example of its use in Hair JF, Anderson, RE, Tatham, RL and Black WC Multivariate Data Analysis (1998) Prentice-Hall, NJ. High values are associated with high correlations amongst variables in a matrix. </para><para>For a matrix, m, typing <emphasis role="strong">kappa(m)</emphasis> produces the condition index for m using R. Typing <emphasis role="strong">help(kappa)</emphasis> in R gives further details.  </para></section></article>