In article <aro9ud$e51$[EMAIL PROTECTED]>,
Alexander Sirotkin  <[EMAIL PROTECTED]> wrote:

>I use princomp() to get a PCA components and then use these components
>to build a classification model.
>
>When I use new data with that model (data which I did not have when
>I did the original PCA), I have to aplly a PCA first and then use PCA
>components with my model.
>
>The problem is - I would like (actually, I think I have) to use an 
>eigenbasis from the first PCA when I do a PCA on a new data.
>
>So the question is - how can I use the eigenbasis (loadings ??) from 
>princomp() output as an argument to another princomp() when processig a 
>new data.

You probably want to just find the projections of the new data on the
principle components you found before, which I presume are the inputs
to your classification model.  I think you don't want to find principle
components all over again.

   Radford Neal
.
.
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