Please see the footer of this message: we need to know what you did.
Also, SAS may have made some assumptions for you without telling you (for
example used a numerically ill-conditioned covariance matrix), and we
don't know what you did in SAS, either.
On Tue, 12 Aug 2008, Pedro Mardones wrote:
> Dear all;
> working with a 'fat' data set (700 variables / 50 samples) and
trying
> to run a manova test on it (I'm aware that it's not the best option
> for this kind of data set) I got the error in the summary.manova
> function about the rank of the residuals (rank < # variables). Ok. The
> thing that I don't understand is why I don't get the same type of
> error in SAS. There seems to be no problem with rank deficiency and
> the fit-statistics in SAS (no negative DF or something like that...).
> I'm sure it must be some differences in the way the manova test is
> calculated but I don't know what they are, so I'll appreciate any
> comments...
> Thanks
> PM
>
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--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
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