x_Obj            package:ffmanova            R Documentation(latin1)

_C_r_e_a_t_i_o_n _o_f _a _d_e_s_i_g_n _m_a_t_r_i_x _o_b_j_e_c_t

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

     The function takes design/model information as input and performs
     initial computations for prediction and testing.

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

     x_Obj(D, model)

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

       D: A list containing a regressor matrix for each model term

   model: The model coded as a matrix

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

     See the source code of 'ffmanova' to see how 'D' and  'model' are
     created.

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

df_error: degrees of freedom for error

       D: same as input

  D_test: as 'D', but with Type II* adjusted model terms. Will be used
          for testing.

    D_om: as 'D', but with OM-adjusted model terms. This is a
          non-overparameterised representation of the model. Will be
          used for prediction.

 df_D_om: degrees of freedom according to 'D_om'

df_D_test: degrees of freedom according to 'D_test'

  Beta_D: output from 'linregEst' where 'D_om' is response and where
          'D' is regressor

VmodelDivS_D: as above

VextraDivS1_D: as above

  Umodel: output from 'linregStart' where 'D_om' is regressor

VmodelDivS: as above

VextraDivS1: as above

termNames: model term names

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

     yvind Langsrud and Bjrn-Helge Mevik

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

     'linregEst', 'xy_Obj'.

