

   BBoossttoonn HHoouussiinngg DDaattaa

        data(housing)

   FFoorrmmaatt::

        A data frame with 506 observations on 14 variables, the
        last one `medv' being the target variable:

                [,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 10 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 $10,000
                       [,11]     ptratio     pupil-teacher ratio by town
                    [,12]        b           1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town
                      [,13]      lstat       lower status of the population
                      [,14]      medv        median value of owner-occupied homes in $1000's

   DDeessccrriippttiioonn::

        Concerns housing values in suburbs of Boston.

   SSoouurrccee::

        Harrison, D. and Rubinfeld, D.L. 'Hedonic prices and
        the demand for clean air', J. Environ. Economics & Man-
        agement, vol.5, 81-102, 1978.

        These data have been taken from the UCI Repository Of
        Machine Learning Databases at

           * 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.

