coleman                package:rrcov                R Documentation

_C_o_l_e_m_a_n _D_a_t_a _S_e_t

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

     Contains information on 20 Schools from the Mid-Atlantic and New
     England States,  drawn from a population studied by Coleman et al.
     (1966). Mosteller and Tukey (1977)  analyze this sample consisting
     of measurements on six different variables, one of  which will be
     treated as a responce.

_U_s_a_g_e:

     data(coleman)

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

     A data frame with 20 observations on the following 6 variables.

     '_X_1' staff salaries per pupil

     '_X_2' percent of white-collar fathers

     '_X_3' socioeconomic status composite deviation: means for family
          size, family intactness, father's education, mother's
          education, and home items

     '_X_4' mean teacher's verbal test score

     '_X_5' mean mother's educational level, one unit is equal to two
          school years

     '_Y' verbal mean test score (y, all sixth graders)

     For convenience, the data sets 'coleman.x', a matrix with the 
     five (independent) variables of the data frame, and 'coleman.y', 
     the numeric vector giving the sixth (dependent) variable, are
     provided as well.

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

     P. J. Rousseeuw and A. M. Leroy (1987)  _Robust Regression and
     Outlier Detection._ Wiley, p.79, table 2.

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

     data(coleman)
     covMcd(coleman.x)
     summary(lm.coleman <- lm(coleman.y ~ coleman.x))

