credit               package:Fahrmeir               R Documentation

_C_r_e_d_i_t _S_c_o_r_e _D_a_t_a _F_r_o_m _a _S_o_u_t_h _G_e_r_m_a_n _B_a_n_k

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

     The 'credit' data frame has 1000 rows and 8 columns. This are 
     data for 1000 clients of a south german bank, 700 good payers and
     300 bad payers. They are used to construct a credit scoring
     method.

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

     data(credit)

_F_o_r_m_a_t:

     This data frame contains the following columns:

     _Y a factor with levels 'buen'  'mal', the response variable. buen
          is the good payers.

     _C_u_e_n_t_a a factor with levels 'no'  'good running'  'bad running',
          quality of the credit clients bank account.

     _M_e_s a numeric vector, duration of loan in months.

     _P_p_a_g a factor with levels 'pre buen pagador'  'pre mal pagador',
          if the client previosly have been a  good or bad payer. 

     _U_s_o a factor with levels 'privado'  'profesional', the use to
          which the loan is made. 

     _D_M a numeric vector, the size of loan in german marks.

     _S_e_x_o a factor with levels 'mujer'  'hombre', sex of the client.

     _E_s_t_c a factor with levels 'no vive solo'  'vive solo', civil state
          of the client. 

_S_o_u_r_c_e:

     Fahrmeier and Tutz, _Multivariate Generalized Linear Models_, 
     Springer Verlag.

_E_x_a_m_p_l_e_s:

     summary(credit)

