[R] data structure for plsr

[jim holtman]

try:

str(yarn)

to see what the structure is.

On 10/16/07, Bricklemyer, Ross S <rsb at wsu.edu> wrote:
> All,
>
> I am working with NIR spectral data and it was great to find that the example in ?plsr also used spectral data.  Unfortunately, I am having difficulty figuring out how the "yarn" dataset is structured to allow for the plsr model to read:
>
> library(pls)
> data(yard)
> yarn.oscorespls <- mvr(density ~ NIR, 6, data = yarn, validation = "CV", method = "oscorespls")
>
> dim(yarn)
>
> yarn
>
>
> Specifically, it is VERY convenient to be able to have the ~256 variables to be used in the model defined by NIR term.  When I use dim(yarn) it claims [1] 28  3.  When I call "yarn" there is WAY more data than 28  3.  How does this work?  I have 186 spectral bands to run in plsr and I would really like to be able to call them using NIR or something simlar.  I have tried labeling my spectral data ASD.###, where ### is the wavelength, but I keep getting data.frame errors.
>
> Ross
>
>
>
> *******************************************************************
> Ross Bricklemyer
> Dept. of Crop and Soil Sciences
> Washington State University
> 291D Johnson Hall
> PO Box 646420
> Pullman, WA 99164-6420
> Work: 509.335.3661
> Cell/Home: 406.570.8576
> Fax: 509.335.8674
> Email: rsb at wsu.edu
>
>
>
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-- 
Jim Holtman
Cincinnati, OH
+1 513 646 9390

What is the problem you are trying to solve?