Dear Simon, Thanks ! It works !
Best, Le lundi 1 mai 2023 à 11:19:26 UTC+2, Simon Wood <simon.w...@bath.edu> a écrit : try... sum(residuals(model1)^2) On 30/04/2023 22:03, varin sacha via R-help wrote: > Dear R-experts, > > Here below my R code. I get a NaN response for gam with mgcv library. How to > solve that problem? > Many thanks. > > ######################################################### > library(mgcv) > > y=c(23,24,34,40,42,43,54,34,52,54,23,32,35,45,46,54,34,36,37,48) > x1=c(0.1,0.3,0.5,0.7,0.8,0.9,0.1,0.7,0.67,0.98,0.56,0.54,0.34,0.12,0.47,0.52,0.87,0.56,0.71,0.6) > x2=c(9,7,5,3,2,1,1,2,8,9,6,3,1,5,6,7,3,1,3,5) > x3=c(11,10,13,15,10,9,14,16,18,19,20,9,13,12,14,17,21,19,23,12) > > model=lm(y~x1+x2+x3) > model1=gam(y ~ s(x1, bs = 'cr', k = 3) + s(x2, bs = 'cr', k = 3)+ s(x3, bs = > 'cr', k = 3)) > > > #Calculate MSE > model_summ=summary(model) > mean(model_summ$residuals^2) > > > #Calculate MSE > model_summ=summary(model1) > mean(model_summ$residuals^2) > ######################################################### > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Simon Wood, School of Mathematics, University of Edinburgh, https://www.maths.ed.ac.uk/~swood34/ ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.