GENLIN and Poisson and offset

Problem

In the documentation for Generalized Linear Models (GENLIN command), there seems to be no mention that the offset variable should be the natural log of the exposure variable when the model is for Poisson or Negative Binomial distributions with a log link. The Help->Topics description for Offset under "Generalized Linear Models Predictors" states the following: " Offset. The offset term is a "structural" predictor. Its coefficient is not estimated by the model but is assumed to have the value 1; thus, the values of the offset are simply added to the linear predictor of the dependent variable. This is especially useful in Poisson regression models, where each case may have different levels of exposure to the event of interest. For example, when modeling accident rates for individual drivers, there is an important difference between a driver who has been at fault in one accident in three years of experience and a driver who has been at fault in one accident in 25 years! The number of accidents can be modeled as a Poisson response if the experience of the driver is included as an offset term." The explanation should state that the offset variable should be the natural log of the exposure variable for Poisson and Negative Binomial Regression models with a log link. So, for the example in the definition, with number of accidents as the dependent variable, the variable to be placed in the Offset box would be the log of the number of years of driving experience.