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Error messages from the fitting program. • Collinearity. • Large standard errors. Can also fit logistic regression models with one covariate at a time and analyze the fits. In particular, look at the. Backward elimination: Start with a complex model and remove terms sequentially until a further deletion leads to a significantly. Nov 14, 2013. The step() function iteratively tries to remove predictor variables from the model in an attempt to delete variables that do not significantly add to the fit. The stepwise model selection schema was covered in the regression schema tutorial. It is unchanged in this application. It is interesting to note here that.
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