\Header{Boston}{Housing Values in Suburbs of Boston}
\keyword{datasets}{Boston}
\begin{Description}\relax
The \code{Boston} data frame has 506 rows and 14 columns.
\end{Description}
\begin{Usage}
\begin{verbatim}
data(Boston)
\end{verbatim}
\end{Usage}
\begin{Format}\relax
This data frame contains the following columns:
\describe{
\item[\code{crim}] per capita crime rate by town

\item[\code{zn}] proportion of residential land zoned for lots over 25,000 sq.ft.

\item[\code{indus}] proportion of non-retail business acres per town

\item[\code{chas}] Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)

\item[\code{nox}] nitrogen oxides concentration (parts per 10 million)

\item[\code{rm}] average number of rooms per dwelling

\item[\code{age}] proportion of owner-occupied units built prior to 1940

\item[\code{dis}] weighted mean of distances to five Boston employment centres

\item[\code{rad}] index of accessibility to radial highways

\item[\code{tax}] full-value property-tax rate per \$10,000

\item[\code{ptratio}] pupil-teacher ratio by town

\item[\code{black}] \eqn{1000(Bk - 0.63)^2}{} where Bk is the proportion of blacks by town

\item[\code{lstat}] lower status of the population (percent)

\item[\code{medv}] median value of owner-occupied homes in \$1000
}
\end{Format}
\begin{Source}\relax
Harrison, D. and Rubinfeld, D.L. (1978)
Hedonic prices and the demand for clean air.
\emph{J. Environ. Economics and Management}
\bold{5}, 81--102.


Belsley D.A., Kuh, E.  and Welsch, R.E. (1980)
\emph{Regression Diagnostics. Identifying Influential Data and Sources of Collinearity.}
New York: Wiley.
\end{Source}

