svdr                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_r_i_n_c_i_p_a_l _C_o_m_p_o_n_e_n_t_s _R_e_g_r_e_s_s_i_o_n

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

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

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

     svdr(X, y, dimension)

_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.

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 'svd', 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):

     Debashis Ghosh

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

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

