Hi, take a look on pls package and it's documentation, there are examples also for NIR data.
http://mevik.net/work/software/pls.html Article form "Journal of Statistical Software" http://www.jstatsoft.org/v18/i02 Also "Caret" package can be used to evaluate pls and other regreesion models: http://caret.r-forge.r-project.org/Classification_and_Regression_Training.html Best regards, Andris On Tue, Mar 3, 2009 at 4:49 PM, Paulo Ricardo Gherardi Hein <phein1...@gmail.com> wrote: > Dear collegues, > > I´ ve worked with near infrared (NIR) spectroscopy to assess chemical, > physical, mechanical and anatomical properties of wood. > > I use "The Unscrambler" software to correlate the matrix of dependent > variables (Y) with the matrix of spectral data (X) and I would like to > migrate to R. The matrix of spectral variables is very large (2345 columns > and n lines, where n = samples), so we used Partial Least Squares Regression > to predict a variable y (content of cellulose, for instance) based on the > spectral variables, which are the NIR wavelengths. > > I am new here (since jan2009) and up to now, I not seen anyone commenting > about principal component analysis and regression PLS to analyze spectral > information in R system. Sorry, I am a R starter... > > Anybody have any package, or trick to suggest me? > > Grateful for yours information! > -- > Paulo Ricardo Gherardi Hein > PhD candidate at University of Montpellier 2 > CIRAD - PERSYST Department > Research unit: Production and Processing of Tropical Woods - TA B-40/16 > 73 rue Jean-François Breton 34398 Montpellier Cedex 5, France > phone: +33 4 67 61 44 51 > skype: paulo_hein > email: paulo.h...@cirad.fr > > [[alternative HTML version deleted]] > > > ______________________________________________ > 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. > > ______________________________________________ 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.
