pitprops             package:elasticnet             R Documentation

_P_i_t_p_r_o_p_s _c_o_r_r_e_l_a_t_i_o_n _d_a_t_a

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

     The 'pitprops' data is a correlation matrix that was calculated
     from 180 observations. There are 13  explanatory variables.

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

     data(pitprops)

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

     Jeffers (1967) tried to interpret the first six PCs. This is a
     classical example showing the difficulty of interpreting principal
     components.

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

     Jeffers, J. (1967) "Two case studies in the application of
     principal component",     _Applied Statistics_, 16, 225-236.

