pls1c                package:pdmclass                R Documentation

_F_u_n_c_t_i_o_n _t_o _F_i_t _M_o_d_i_f_i_e_d _H_e_l_l_a_n_d _A_l_g_o_r_i_t_h_m

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

     This function fits a partial least squares model based on the
     modified Helland algorithm. This is an internal function and is
     not intended to be called by the end user.

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

     pls1c(X, y, dimension = min(dx[1] - 1, dx[2]))

_A_r_g_u_m_e_n_t_s:

       X: A numeric matrix assumed to have been centred so columns sum
          to zero.

       y: A numeric vector assumed to sum to zero.

dimension: The number of PLS factors in the model, which must be less
          than or equal to the rank of 'X'.

_V_a_l_u_e:

     An object of class 'pls', containing the following items: 

fitted.values : The fitted values.

coefficients : The model coefficients.

dimension: The number of PLS factors in the model.

_A_u_t_h_o_r(_s):

     Mike Denham

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

     http://www.sph.umich.edu/~ghoshd/COMPBIO/POPTSCORE

