In sci.stat.edu Radford Neal <[EMAIL PROTECTED]> wrote:

: You don't know what you are talking about.  There are many, many
: situations in which data is analysed when there are more variables
: than observations.  

but if you know anything about statistics, you don't analyze them as 
variables but condense them based on your knowledge to many fewer 
variables than observations


: The absurdity of saying you can't do anything with more variables than
: observations is well illustrated by the case of spectroscopic data,
: where the number of variables is just the number of frequencies (or
: that you have to throw away the extra data from the better instrument
: before analysing it.
see above

: PCA isn't necessarily the best way of analysing such data, but it
: isn't senseless.

It's senseless
.
.
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