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\name{coleman}
\alias{coleman}
\docType{data}
\title{Coleman Data Set}
\description{
Contains information on 20 Schools from the Mid-Atlantic and New
England States, drawn from a population studied by Coleman et
al. (1966). Mosteller and Tukey (1977) analyze this sample consisting
of measurements on six different variables, one of which will be
treated as a responce.
}
\usage{data(coleman, package="robustbase")}
\format{
A data frame with 20 observations on the following 6 variables.
\describe{
\item{\code{salaryP}}{staff salaries per pupil}
\item{\code{fatherWc}}{percent of white-collar fathers}
\item{\code{sstatus}}{socioeconomic status composite deviation: means for
family size, family intactness, father's education, mother's
education, and home items}
\item{\code{teacherSc}}{mean teacher's verbal test score}
\item{\code{motherLev}}{mean mother's educational level, one unit is equal
to two school years}
\item{\code{Y}}{verbal mean test score (y, all sixth graders)}
}
}
\author{Valentin Todorov}
\source{
P. J. Rousseeuw and A. M. Leroy (1987)
\emph{Robust Regression and Outlier Detection} Wiley, p.79, table 2.
}
\examples{
data(coleman)
pairs(coleman)
summary( lm.coleman <- lm(Y ~ . , data = coleman))
summary(lts.coleman <- ltsReg(Y ~ . , data = coleman))
coleman.x <- data.matrix(coleman[, 1:6])
(Cc <- covMcd(coleman.x))
}
\keyword{datasets}
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