extracts the linear.predictor component of a model object, taking 'na.resid' into account, in analogy to 'residuals' or 'fitted.values'
vector (or, for models inheriting from 'multinom', matrix) of linear predictor values
Werner A. Stahel
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## 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
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