\name{SAT}
\alias{SAT}
\docType{data}
\title{
SAT score data
}
\description{ 
The average SAT score of the fifty states in the U.S. in 1982, as well as six variables that are used to predict the average SAT score. 
}
\usage{
data(SAT)
}
\format{
  The data frame contains the following components:
  \describe{
    \item{sat}{ sat  income   years  public  expend    rank}
    \item{takers}{percentage of the total eligible students in the state who took the exam;;}
	\item{income}{the median income of families of the test takers;}
	\item{years}{the average number of years that the test takers had formal studies in social sciences,  natural sciences and humanities;}
    \item{public}{the percentage of the test takers who attended public secondary schools;}
	\item{expend}{the total state expenditure on secondary schools;}
	\item{rank}{the median percentile ranking of the test takers within their secondary school classes.}

	}
}
\source{
Ramsey, F. and Schafer, D. (2012). The Statistical Sleuth: A Course in Methods of
Data Analysis. Boston: Cengage Learning.
}
\examples{
#wheatprotein
data(SAT)
SAT=as.data.frame(scale(SAT,scale=FALSE))
new=model.matrix(sat~(takers+income+years+public+expend+rank)^2,SAT)
X=as.matrix(new[,c(2:22)])
Y=as.matrix(SAT[,1])
#m1=spxenv(X,Y,u=3)
}

\keyword{datasets}