svdpls1c              package:pdmclass              R Documentation

_C_l_a_s_s_i_f_y _M_i_c_r_o_a_r_r_a_y _D_a_t_a _b_y _P_a_r_t_i_a_l _L_e_a_s_t _S_q_u_a_r_e_s

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

     This function is used by 'pdmClass' and 'pdmGenes' to classify
     microarray data by partial least squares. It is an internal
     function and not intended to be called by the end user.

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

     svdpls1c(X, y, ...)

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

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

       y: A numeric vector assumed to sum to zero.

     ...: Further arguments to the function

_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.

  xmeans: The sample means.

_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

