Thanks. I got what I needed.
for example:
> USA.pca<-prcomp(USArrests, scale = TRUE)
> predict(USA.pca)
PC1 PC2 PC3 PC4
Alabama -0.97566045 1.12200121 -0.43980366 0.154696581
Alaska -1.93053788 1.06242692 2.01950027 -0.434175454
Arizona -1.74544285 -0.73845954 0.05423025 -0.826264240
Arkansas 0.13999894 1.10854226 0.11342217 -0.180973554
California -2.49861285 -1.52742672 0.59254100 -0.338559240
...





On 10/5/05, Berton Gunter <gunter.berton@gene.com> wrote:
>
> ?princomp ?prcomp give examples
>
> -- Bert Gunter
> Genentech Non-Clinical Statistics
> South San Francisco, CA
>
> "The business of the statistician is to catalyze the scientific learning
> process." - George E. P. Box
>
>
>
> > -----Original Message-----
> > From: r-help-bounces@stat.math.ethz.ch
> > [mailto:r-help-bounces@stat.math.ethz.ch] On Behalf Of Weiwei Shi
> > Sent: Wednesday, October 05, 2005 12:27 PM
> > To: r-help
> > Subject: [R] pca in dimension reduction
> >
> > Hi, there:
> > I am wondering if anyone here can provide an example using pca doing
> > dimension reduction for a dataset.
> > The dataset can be n*q (n>=q or n<=q).
> >
> > As to dimension reduction, are there other implementations
> > for like ICA,
> > Isomap, Locally Linear Embedding...
> >
> > Thanks,
> >
> > weiwei
> >
> > --
> > Weiwei Shi, Ph.D
> >
> > "Did you always know?"
> > "No, I did not. But I believed..."
> > ---Matrix III
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> >
>
>
>


--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

	[[alternative HTML version deleted]]


