Andreas, I don't know what it is exactly that you want to do, but perhaps you can try using limSolve, which solves for the equations Ex>=F, Gx>=H. In the code below, lsei calculates the least squares solution (min sum(x^2)), xranges estimates the range of your variables, and xsample takes a random sample of solutions. f.con<-matrix(c(0,2/3,1/3,1/3, 1,1,1,1, 1,0,0,0, 0,1,0,0, 0,0,1,0, 0,0,0,1),nrow=6,byrow=TRUE) f.rhs <- c(0.3, 1, 0, 0, 0, 0) E<- f.con[1:2,] G<- f.con[-(1:2),] F<- f.rhs[1:2] H<-f.rhs[-(1:2)] require(limSolve) lsei(E=E,F=F,G=G,H=H) xranges(E=E,F=F,G=G,H=H) xs <- xsample(E=E,F=F,G=G,H=H) pairs(xs$X)
Hope this helps, Karline [[alternative HTML version deleted]] ______________________________________________ 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.