orthlsplsCv              package:lspls              R Documentation

_L_o_w _L_e_v_e_l _C_r_o_s_s-_V_a_l_i_d_a_t_i_o_n _F_u_n_c_t_i_o_n

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

     Low-level function to perform the cross-validation in 'lsplsCv'.

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

     orthlsplsCv(Y, X, Z, ncomp, segments, ...)

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

       Y: matrix.  Response matrix.

       X: matrix.  The first predictor matrix (typically a design
          matrix).

       Z: list.  List of predictor matrices.

   ncomp: list.  The number of components to fit from each matrix.

segments: list.  The segments to use.

     ...: Further arguments.  Currently not used.

_D_e_t_a_i_l_s:

     This function is not meant to be called directly by the user.  It
     performs cross-validation of ortogonalized LS-PLS-models without
     splitting of parallell matrices into common and unique components.
     See the references for details.

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

     An array of cross-validated predictions.  The first dimension
     corresponds to the observations, the second to the responses, and
     the rest to the number of components of the PLS models.

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

     Bjrn-Helge Mevik

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

     Jrgensen, K., Segtnan, V. H., Thyholt, K., Ns, T. (2004)  A
     Comparison of Methods for Analysing Regression Models with Both
     Spectral and Designed Variables. _Journal of Chemometrics_,
     *18*(10), 451-464.

     Jrgensen, K., Mevik, B.-H., Ns, T.  Combining Designed
     Experiments with Several Blocks of Spectroscopic Data. (Submitted)

     Mevik, B.-H., Jrgensen, K., Mge, I., Ns, T.  LS-PLS: Combining
     Categorical Design Variables with Blocks of Spectroscopic
     Measurements. (Submitted)

_S_e_e _A_l_s_o:

     'lspls', 'lsplsCv', 'orthlspls.fit'

