Re: PCA Principal component analysis
- From: Andersen <andersen_800@xxxxxxxxxxx>
- Date: Sun, 03 Jun 2007 10:45:51 +0200
Hello, Thank you,
Another add-on, how do I know if the unrotated fits better? Also what happens with the distribution of the components if they are multivariate normal?
Gottfried Helms wrote:
Am 02.06.2007 13:03 schrieb Andersen:.Hello,If the unnrotated solutions agrees best with your
I have a few q about PCA.
Why would one NOT want to rotate when using PCA?
Also what happens if the variables are multivariate normal? How will the components be distributed?
Sincerely
theoretical model of factors (expecting one dominant
general factor, second...., third...) ?
Gottfried Helms
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- PCA Principal component analysis
- From: Andersen
- Re: PCA Principal component analysis
- From: Gottfried Helms
- PCA Principal component analysis
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