Hi Paulo,
You might also want to look at something like the glmnet package (Friedman,
Hastie, and Tibshirani). This carries out penalized regression, is designed
to work with high numbers of predictors/inputs/columns and relatively few
samples/obervations/rows, and is very fast.
See: http://www-
Paulo Ricardo Gherardi Hein writes:
> 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?
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:
htt
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.
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