\name{tecator}
\docType{data}
\alias{tecator}
\alias{absorp}
\alias{endpoints}
\title{Fat, Water and Protein Content of Maat Samples}
\description{
"These data are recorded on a Tecator Infratec Food and Feed Analyzer 
working in the wavelength range 850 - 1050 nm by the Near Infrared 
Transmission (NIT) principle. Each sample contains finely chopped pure 
meat with different moisture, fat and protein contents.

If results from these data are used in a publication we want you to 
mention the instrument and company name (Tecator) in the publication. 
In addition, please send a preprint of your article to 

    Karin Thente, Tecator AB, 
    Box 70, S-263 21 Hoganas, Sweden

The data are available in the public domain with no responsability from 
the original data source. The data can be redistributed as long as this 
permission note is attached."

"For each meat sample the data consists of a 100 channel spectrum of 
absorbances and the contents of moisture (water), fat and protein. 
The absorbance is -log10 of the transmittance 
measured by the spectrometer. The three contents, measured in percent, 
are determined by analytic chemistry."

Included here are the traning, monitoring and test sets.
}

\usage{data(tecator)}

\value{
  \item{absorp}{absorbance data for 215 samples. The first 129 were originally used as a training set}
  \item{endpoints}{the percentages of water, fat and protein}
  }

\examples{
data(tecator)

splom(~endpoints)

# plot 10 random spectra
set.seed(1)
inSubset <- sample(1:dim(endpoints)[1], 10)

absorpSubset <- absorp[inSubset,]
endpointSubset <- endpoints[inSubset, 3]

newOrder <- order(absorpSubset[,1])
absorpSubset <- absorpSubset[newOrder,]
endpointSubset <- endpointSubset[newOrder]

plotColors <- rainbow(10)

plot(absorpSubset[1,], 
   type = "n", 
   ylim = range(absorpSubset), 
   xlim = c(0, 105),
   xlab = "Wavelength Index", 
   ylab = "Absorption")
   
for(i in 1:10)
{
   points(absorpSubset[i,], type = "l", col = plotColors[i], lwd = 2)
   text(105, absorpSubset[i,100], endpointSubset[i], col = plotColors[i])
}
title("Predictor Profiles for 10 Random Samples")
}

\keyword{datasets}  

