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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