| Credit {MLGdata} | R Documentation |
Credit Score Data From a South German Bank
Description
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.
Format
Data frame with 1000 observations on the following 8 variables
Y-
a factor with levels
buenmal, the response variable. buen is the good payers. Cuenta-
a factor with levels
nogood runningbad running, quality of the credit clients bank account. Mes-
a numeric vector, duration of loan in months.
Ppag-
a factor with levels
pre buen pagadorpre mal pagador, if the client previosly have been a good or bad payer. Uso-
a factor with levels
privadoprofesional, the use to which the loan is made. DM-
a numeric vector, the size of loan in german marks.
Sexo-
a factor with levels
mujerhombre, sex of the client. Estc-
a factor with levels
no vive solovive solo, civil state of the client.
Source
Fahrmeier, L. and Tutz, G. (2001) Multivariate Generalized Linear Models. New York: Springer Verlag.
Package Fahrmeir