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: [EMAIL PROTECTED] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
