delivery                package:rrcov                R Documentation

_D_e_l_i_v_e_r_y _T_i_m_e _D_a_t_a

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

     Delivery Time Data, from Montgomery and Peck (1982). The aim is to
     explain the time required to service a vending  machine (Y) by
     means of the number of products stocked (X1) and the  distance
     walked by the route driver (X2).

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

     data(delivery)

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

     A data frame with 25 observations on the following 3 variables.

     '_X_1' Number of Products

     '_X_2' Distance

     '_Y' Delivery time 

     For convenience, the data sets 'delivery.x', a matrix with  the
     two (independent) variables of the data frame, and 'delivery.y', 
     the numeric vector giving the thirth (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, page 155, table 23.

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

     data(delivery)
     covMcd(delivery.x)

     summary(lm.delivery <- lm(delivery.y ~ delivery.x))

