Logistic regression
# Where F is a binary factor and x1-x3 are continuous predictors:
fit <- glm( F ~ x1 + x2 + x3, data = mydata, family=binomial() )
summary(fit) # display results
confint(fit) # 95% CI for the coefficients
exp(coef(fit)) # exponentiated coefficients
exp(confint(fit)) # 95% CI for exponentiated coefficients
predict(fit, type="response") # predicted values
residuals(fit, type="deviance") # residuals