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...to see if the results where better. Since the model WAS created by a function of the Design library, I can't see how it would then be rejected. Below is the session transcript: -------------------------------------------------------------------------------- > fmodel <- lrm.fit(cbind(trainlogdata$v1, trainlogdata$v2), trainlogdata$label) > fmodel Logistic Regression Model lrm.fit(x = cbind(trainlogdata$v1, trainlogdata$v2), y = trainlogdata$label) Frequencies of Responses 0 1 20988 6684 Obs Max Deriv Model L.R. d.f. P C Dxy...

...t to see if the results where better. Since the model WAS created by a function of the Design library, I can't see how it would then be rejected. Below is the session transcript: -------------------------------------------------------------------------------- > fmodel <- lrm.fit(cbind(trainlogdata$v1, trainlogdata$v2), trainlogdata$label) > fmodel Logistic Regression Model lrm.fit(x = cbind(trainlogdata$v1, trainlogdata$v2), y = trainlogdata$label) Frequencies of Responses 0 1 20988 6684 Obs Max Deriv Model L.R. d.f. P C Dxy 27672...