search for: jan2009

...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 candidat...