Ozone                 package:e1071                 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.

