Hi Jari,

That's good to hear - I hadn't made the connection to cca/rda. This will
help me find pertinent literature as well.

Many thanks,
Marc

On Wed, May 23, 2012 at 9:33 AM, Jari Oksanen <jari.oksa...@oulu.fi> wrote:

> Marc,
>
> Basic R stats functions like prcomp have a predict method that can be used
> to "predict" (calculate) scores with 'newdata'. This is standard, and has
> been in R for ever. Most textbooks of multivariate analysis should handle
> this issue.
>
> In community ecological context, see functions predict.cca and predict.rda
> in vegan. These take argument 'newdata' which can be new community data --
> depending on what you want to predict (argument 'type'). Function
> calibrate.cca documented in the same help page can be used to predict
> values of constraining variables in constrained ordination (CCA, RDA) from
> community composition, also with 'newdata' communities.
>
> Cheers, Jari Oksanen
>
> ________________________________________
> From: r-sig-ecology-boun...@r-project.org [
> r-sig-ecology-boun...@r-project.org] on behalf of Marc Taylor [
> marchtay...@gmail.com]
> Sent: 23 May 2012 10:19
> To: r-sig-ecology@r-project.org
> Subject: [R-sig-eco] PCA as a predictive model
>
> Hello R-sig-ecology group,
>
> I was wondering if anyone is aware of an example where PCA is used as a
> predictive model? A community analysis example might be to predict the PC
> values of a sample given its community composition. I had thrown this
> question up on a statistics forum (
>
> http://stats.stackexchange.com/questions/28916/can-empirical-orthogonal-function-eof-analysis-be-used-as-a-predictive-model
> )
> but have gotten hardly any response. I imagined that there are some folks
> here that would have some insight into this problem.
>
> Many thanks,
> Marc
>
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>
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>

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