Ozone                package:mlbench                R Documentation

_L_o_s _A_n_g_e_l_e_s _o_z_o_n_e _p_o_l_l_u_t_i_o_n _d_a_t_a, _1_9_7_6

_D_e_s_c_r_i_p_t_i_o_n:

     A data frame with 366 observations on 13 variables, each
     observation is one day

_U_s_a_g_e:

     data(Ozone)

_F_o_r_m_a_t:


        1  Month: 1 = January, ..., 12 = December
        2  Day of month
        3  Day of week: 1 = Monday, ..., 7 = Sunday
        4  Daily maximum one-hour-average ozone reading
        5  500 millibar pressure height (m) measured at Vandenberg AFB
        6  Wind speed (mph) at Los Angeles International Airport (LAX)
        7  Humidity (%) at LAX
        8  Temperature (degrees F) measured at Sandburg, CA
        9  Temperature (degrees F) measured at El Monte, CA
       10  Inversion base height (feet) at LAX
       11  Pressure gradient (mm Hg) from LAX to Daggett, CA
       12  Inversion base temperature (degrees F) at LAX
       13  Visibility (miles) measured at LAX

_D_e_t_a_i_l_s:

     The problem is to predict the daily maximum one-hour-average ozone
     reading (V4).

_S_o_u_r_c_e:

     Leo Breiman, Department of Statistics, UC Berkeley.  Data used in
     Leo Breiman and Jerome H. Friedman (1985), Estimating optimal
     transformations for multiple regression and correlation, JASA, 80,
     pp. 580-598.

