df.terms(model, term, ...)
df.terms.default(model, term, ...)
has.intercept(model, ...)
has.intercept.default(model, ...)
inv(x)
is.aliased(model)
mfrow(n, max.plots=0)
nice(x, direction=c("round", "down", "up"))
predictor.names(model, ...)
predictor.names.default(model, ...)
relatives(term, names, factors)
response.name (model, ...)
response.name.default(model, ...)
response(model, ...)
response.default(model, ...)
term.names(model, ...)
term.names.default(model, ...)