[R] PLS regression on near infrared (NIR) spectra data

[Andris Jankevics]

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
<phein1980 at 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.hein at cirad.fr
>
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>
>
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