linear.predictors: linear predictors from a (generalized) linear model
In regr0: Building regression models

Description Usage Arguments Value Author(s) See Also Examples

extracts the linear.predictor component of a model object, taking 'na.resid' into account, in analogy to 'residuals' or 'fitted.values'

1	linear.predictors(object)

object

model fit

vector (or, for models inheriting from 'multinom', matrix) of linear predictor values

Werner A. Stahel

fitted.values

## example from 'glm'
clotting <- data.frame(
u = c(5,10,15,20,30,40,60,80,100),
lot1 = c(118,58,NA,35,27,25,21,19,18), ## NA inserted instead of 42
lot2 = c(69,35,26,21,18,16,13,12,12))

r.gam  <- glm(lot1 ~ log(u), data = clotting, family = Gamma)
linear.predictors(r.gam)
## 8 elements; 3rd missing.
r.gex  <- glm(lot1 ~ log(u), data = clotting, family = Gamma,
              na.action=na.exclude)
linear.predictors(r.gex)
## 9 elements, third is NA