My message seemed to get a bit lost in that discussion so just to bring 
it back ...

Changing that to mod instead of r(mod) results in

predicted=r.predict(*r(mod)*, type='response', ncomp = 10, newdata = accFAS )


gives the following error

Traceback (most recent call last):
 File "C:\Documents and Settings\Administrator\Desktop\pls\pls.py", line 
40, in <module>
   predicted=r.predict(mod, type='response', ncomp = 10, newdata = accFAS )
RPy_RException: Error in eval(predvars, data, env) :
 numeric 'envir' arg not of length one

which is why I had thought it was r(mod) originally; or is this error 
telling me something else is wrong?

What does  "numeric 'envir' arg not of length one" refer to anyway?

Chris

Chris Arthur wrote:
> Hi Gregory,
>
> Changing that to mod instead of r(mod) results in the following error
>
> Traceback (most recent call last):
>   File "C:\Documents and Settings\Administrator\Desktop\pls\pls.py", 
> line 40, in <module>
>     predicted=r.predict(mod, type='response', ncomp = 10, newdata = accFAS )
> RPy_RException: Error in eval(predvars, data, env) :
>   numeric 'envir' arg not of length one
>
> which is why I had thought it was r(mod) originally; or is this error 
> telling me something else is wrong?
>
> Chris
>
> Gregory Warnes wrote:
>   
>>
>> On Jun 10, 2008, at 9:20AM , Chris Arthur wrote:
>>
>>     
>>> Thanks Gregory, that "y ~ ." syntax solves my problems. and allows my to
>>> pull out the PLSR data I wanted, but leads me to my next problem.
>>>
>>>       
>> Glad to help.
>>
>>
>>     
>>> I then try to use my model to predict the value of the matrix accFAS
>>> predicted=r.predict(*r(mod)*, type='response', ncomp = 10, newdata = 
>>> accFAS )
>>>
>>>       
>> I think your problem comes from the r(mod).  This form expects a 
>> string to be evaluated in r.  Try this instead"
>>
>>     
>>> predicted=r.predict(*mod*, type='response', ncomp = 10, newdata = 
>>> accFAS )
>>>       
>> -G
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