fdaCMA-methods              package:CMA              R Documentation

_F_i_s_h_e_r'_s _L_i_n_e_a_r _D_i_s_c_r_i_m_i_n_a_n_t _A_n_a_l_y_s_i_s

_D_e_s_c_r_i_p_t_i_o_n:

     Fisher's Linear Discriminant Analysis constructs a subspace of
     'optimal projections' in which classification is performed. The
     directions of optimal projections are computed by the function
     'cancor' from the package 'stats'. For an exhaustive treatment,
     see e.g. Ripley (1996).

_M_e_t_h_o_d_s:



     _X = "_m_a_t_r_i_x", _y = "_n_u_m_e_r_i_c", _f = "_m_i_s_s_i_n_g" signature 1

     _X = "_m_a_t_r_i_x", _y = "_f_a_c_t_o_r", _f = "_m_i_s_s_i_n_g" signature 2

     _X = "_d_a_t_a._f_r_a_m_e", _y = "_m_i_s_s_i_n_g", _f = "_f_o_r_m_u_l_a" signature 3

     _X = "_E_x_p_r_e_s_s_i_o_n_S_e_t", _y = "_c_h_a_r_a_c_t_e_r", _f = "_m_i_s_s_i_n_g" signature 4

     For references, further argument and output information, consult
     'fdaCMA'.

