wood                  package:rrcov                  R Documentation

_M_o_d_i_f_i_e_d _W_o_o_d _G_r_a_v_i_t_y _D_a_t_a_s_e_t

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

     The original data are from Draper and Smith (1966) and were used
     to determine the influence of anatomical factors on wood specific
     gravity, with five explanatory variables and an intercept. These
     data were contaminated by replacing a few observations with
     outliers.

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

     data(wood)

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

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

     _X_1 X1

     _X_2 X2

     _X_3 X3

     _X_4 X4

     _X_5 X5

     _Y Y

     For convenience, the data sets 'wood.x', a matrix with the first 5
     (independent)  variables of the data frame, and 'wood.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.243, table 8.

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

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

