

cltrain(locfit)                              R Documentation

_T_r_a_i_n_i_n_g _d_a_t_a_s_e_t _f_o_r _c_l_a_s_s_i_f_i_c_a_t_i_o_n

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

     200 observations from a 2 population model. Under popu-
     lation 0, {1,i} has a standard normal distribution, and
     {2,i} = (2-x_{1,i}^2+z_i)/3, where i is also standard
     normal.  Under population 1, {2,i} =
     -(2-x_{1,i}^2+z_i)/3.  The optimal classification
     regions form a checkerboard pattern, with horizontal
     boundary at 2=0, vertical boundaries at 1 = m
     t{2}.

     This is the same model as the cltrain dataset.

_U_s_a_g_e_:

     data(cltrain)

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

     Data Frame. Three variables x1, x2 and y. The latter
     indicates class membership.

