format
A data frame with 506 observations on 14 variables,
the last one medv being the target variable:
rll{
[,1] crim per capita crime rate by town
[,2] zn proportion of residential land zoned for lots over 25,000 sq.ft
[,3] indus proportion of non-retail business acres per town
[,4] chas Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)
[,5] nox nitric oxides concentration (parts per 110 million)
[,6] rm average number of rooms per dwelling
[,7] age proportion of owner-occupied units built prior to 1940
[,8] dis weighted distances to five Boston employment centres
[,9] rad index of accessibility to radial highways
[,10] tax full-value property-tax rate per USD 10,000
[,11] ptratio pupil-teacher ratio by town
[,12] b $1000(B - 0.63)^2$ where $B$ is the proportion of blacks by town
[,13] lstat lower status of the population
[,14] medv median value of owner-occupied homes in USD 1000's
}source
Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and the
demand for clean air', J. Environ. Economics & Management,
vol.5, 81-102, 1978.
These data have been taken from the UCI Repository Of Machine Learning
Databases at
- ftp://ftp.ics.uci.edu/pub/machine-learning-databases
- http://www.ics.uci.edu/~mlearn/MLRepository.html
and were converted to R format by Friedrich.Leisch@ci.tuwien.ac.at.