milk                  package:rrcov                  R Documentation

_D_a_u_d_i_n'_s _M_i_l_k _C_o_m_p_o_s_i_t_i_o_n _D_a_t_a

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

     Daudin et. al. (1988) give 8 readings on the composition of 86 
     containers of milk. They speak about 85 observations, but this 
     can be explained with the fact that observations 63 and 64 are 
     identical (as noted by Rocke (1996). The data set was used for 
     analysing the stability of principal component analysis by the 
     bootstrap method. In the same context, but using high breakdown 
     point robust PCA, these data was analysed by Todorov et.al.
     (1994). Atkinson (1994) used these data for ilustration of the
     forward  search algorithm for identifying of multiple outliers.

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

     data(milk)

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

     A data frame with 86 observations on the following 8 variables.

     '_X_1' density

     '_X_2' fat content, grams/liter

     '_X_3' protein content, grams/liter

     '_X_4' casein content, grams/liter

     '_X_5' cheese dry substance measured in the factory, grams/liter

     '_X_6' cheese dry substance measured in the laboratory, grams/liter

     '_X_7' milk dry substance, grams/liter

     '_X_8' cheese product, grams/liter

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

     Daudin, J.J. Duby, C. and Trecourt, P. (1988) Stability of
     Principal Component Analysis Studied by the Bootstrap Method
     _Statistics_ *19* 241-258.

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

     data(milk)
     covMcd(milk)

