Readers, I have been reading 'the r book' by Crawley and think that the generalised additive model is appropriate for this problem. The package 'gam' was installed using the command (as root)
install.package("gam") ... library(gam) > library(gam) Loading required package: splines Loading required package: akima > library(mgcv) This is mgcv 1.3-25 Attaching package: 'mgcv' The following object(s) are masked from package:gam : gam, gam.control, gam.fit, plot.gam, predict.gam, s, summary.gam > x<-c(30,50,80,90,100) > y<-c(160,180,250,450,300) > model<-gam(y~s(x)) Error in smooth.construct.tp.smooth.spec(object, data, knots) : A term has fewer unique covariate combinations than specified maximum degrees of freedom The objective is to plot y against x, finally to produce a graph with a smooth curve (and then remove the data points). What is my mistake please? yours, r251 gnu/linux mandriva2008 ______________________________________________ R-help@r-project.org mailing list 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.