

stackloss {base}                             R Documentation

_B_r_o_w_n_l_e_e_'_s _S_t_a_c_k _L_o_s_s _P_l_a_n_t _D_a_t_a

_D_e_s_c_r_i_p_t_i_o_n_:

     (Brownlee, cited by Dodge, slightly reformatted by MM):

     ``Obtained from 21 days of operation of a plant for the
     oxidation of ammonia (NH3) to nitric acid (HNO3).  The
     nitric oxides produced are absorbed in a countercurrent
     absorption tower.''

_U_s_a_g_e_:

     data(stackloss)

_F_o_r_m_a_t_:

     A data frame with  21 observations on 4 variables.

      [,1]     x1     `Air.Flow'        Flow of cooling air
      [,2]     x2     `Water.Temp'      Cooling Water Inlet
                                        Temperature
      [,3]     x3     `Acid.Conc.'      Concentration of acid
                                        [per 1000, minus 500]
      [,4]     y      `stack.loss'      Stack loss

_D_e_t_a_i_l_s_:

     `x1' represents the rate of operation of the plant.
     `x2' is the temperature of cooling water circulated
     through coils in the absorption tower.  `x3' is the
     concentration of the acid circulating, minus 50, times
     10: that is, 89 corresponds to 58.9 per cent acid.  `y'
     (the dependent variable) is 10 times the percentage of
     the ingoing ammonia to the plant that escapes from the
     absorption column unabsorbed; that is, an (inverse)
     measure of the over-all efficiency of the plant.

_S_o_u_r_c_e_:

     Brownlee, K.A. (1960, 2nd ed. 1965) Statistical Theory
     and Methodology in Science and Engineering; John Wiley,
     NY;  pp. 491-500

_R_e_f_e_r_e_n_c_e_s_:

     Yadolah Dodge, The Guinea Pig of Multiple Regression,
     Robust Statistics, Data Analysis, and Computer Inten-
     sive Methods; In Honor of Peter Huber's 60th Birthday,
     1996, Lecture Notes in Statistics 109, Springer-Verlag,
     New York.

_E_x_a_m_p_l_e_s_:

     data(stackloss)
     summary(lm.stack <- lm(stack.loss ~ stack.x))

