Marlene Müller -------------- The talk introduces semiparametric extensions of the generalized linear model. One particular model of interest is the generalized partial linear model (GPLM) which allows a nonparametric modelling of the influence of continuous covariables. Different estimation algorithms are discussed together with tests on the correct specification of this model (vs. a parametric generalized linear model). A special focus of this talk is on the implementation and visualization of the GPLM. The application to a data set on credit scoring illustrates the use of this model.