Hi Alphonse,
Yes, you can perform PCA with uncorrelated variables.
PCA is a simple but quite powerful technique.
In case you have uncorrelated variables, it is a very useful technique
to tell you how observations position themselves based on your
variables, and the extend to which those variable influence the behavior
of the observation.
Please see the link below for a very simple but effective example.
http://www.models.kvl.dk/research/Factor_Model_Movies/index.asp
Best Regards,
Antonio Carvalho
-----Original Message-----
From: A UK-based worldwide e-mail broadcast system mailing list
[mailto:[log in to unmask]] On Behalf Of Alphonse Monkamg
Sent: 25 July 2008 14:00
To: [log in to unmask]
Subject: pca
Dear all,
PCA is useful if variables involves are highly correlated.
Does anyone knows whether on can perform PCA with some uncorrelated
variables.
What are some references for that.
Alphonse
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