Date:         Thu, 17 Jan 2008 00:35:04 -0800
Reply-To:     "cat.." <cat.b41@GMAIL.COM>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         "cat.." <cat.b41@GMAIL.COM>
Organization: http://groups.google.com
Subject:      Relationships within a set of mixed variables
Comments: To: sas-l@uga.edu
Content-Type: text/plain; charset=ISO-8859-1

Hi there,

The principal component analysis is designed to provide graphical
representations of the correlations within a set of continuous
variables. The multiple correspondence analysis is designed to do the
same for a set of categorical variables.

But what if my set of variables contains both types ? Is there any
factorial technique that may help provide pictures of the association
between the variables ?

Kind regards,

Catherine.