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>
Subject: Relationships within a set of mixed variables
Content-Type: text/plain; charset=ISO-8859-1
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 ?