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...r selection of appropriate predictors. Thanks Savrina *mgcv package 1.3-12: # I start with specifying the full model with 116 predictors including isotropic smooth of 3D location variables (when I specify only the first 14 predictors I get no error message) > m0<-gam(label~s(x,y,z,k=50),s+(feature4)+s(feature5)+s(feature6)+...+s(feature116),data=k.data, family=binomial) Error in smooth.construct.tp.smooth.spec(object, data, knots): A term has fewer unique covariate combinations than specified maximum degrees of freedom # I was going to follow this with backwards selection by hypothesis...

...d answer when outside labor time", "rerouting when Subscriber Absent", and so. These are macro calls embedded in key points inside the dialplan. Since not all customers need/want all features and they (the features) are customized, I named them like [macro-feature1-ClientA], [macro-feature4-ClientF], ... Question: is there some built-in way to know if macro "feature1-ClientA" is defined? Something like ExecIfMacro(feature1-ClientA)?macro(feature1-ClientA):Goto(...). For the moment, we are using an external command like "asterisk -rx 'dialplan show'| grep...