R/Boston.R

In nclSLR: The nclSLR package.

#' Housing values in suburbs of Boston.
#'
#' The Boston data frame has 506 rows and 14 columns.
#'
#' @name Boston
#' @docType data
#' @usage data(Boston, package="nclSLR")
#' @return This data frame contains the following columns:
#' \describe{
#' \item{lcrim}{Natural logarithm of the per capita crime rate by town.}
#' \item{zn}{Proportion of residential land zoned for lots over 25,000 sq.ft.}
#' \item{indus}{Proportion of non-retail business acres per town.}
#' \item{chas}{Charles River dummy variable (=1 if tract bounds river; =0 
#' otherwise).}
#' \item{nox}{Nitrogen oxides concentration (parts per 10 million).}
#' \item{rm}{Average number of rooms per dwelling.}
#' \item{age}{Proportion of owner-occupied units built prior to 1940.}
#' \item{disf}{A numerical vector representing an ordered categorical variable 
#' with four levels depending on the weighted mean of the distances to five 
#' Boston employment centres (=1 if distance < 2.5, =2 if 
#' 2.5 <= distance < 5, =3 if 5 <= distance < 7.5, 
#' =4 if distance >= 7.5).}
#' \item{rad}{Index of accessibility to radial highways.}
#' \item{tax}{Full-value property-tax rate per $10,000.}
#' \item{pratio}{Pupil-teacher ratio by town.}
#' \item{black}{\eqn{1000(Bk - 0.63)^2} where \eqn{Bk} is the proportion of blacks by town.}
#' \item{lstat}{Lower status of the population (percent).}
#' \item{medv}{Median value of owner-occupied homes in $1000s.}}
#' @source 
#' 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.} 
#' \emph{Identifying Influential Data and Sources of Collinearity.} New York: 
#' Wiley.
#' @keywords datasets
#' @examples
#' data(Boston, package="nclSLR")
#' head(Boston)
NULL