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