[R] What is the most useful way to detect nonlinearity in logistic regression?

[Patrick Foley]

It is easy to spot response nonlinearity in normal linear models using 
plot(something.lm).
However plot(something.glm) produces artifactual peculiarities since the 
diagnostic residuals are constrained  by the fact that y can only take 
values 0 or 1.
What do R users find most useful in checking the linearity assumption of 
logistic regression (i.e. log-odds =a+bx)?

Patrick Foley
[EMAIL PROTECTED]
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