Hi, I'm a new user of R and I'm trying to make a linear model from this kind of dataset x [1] 16.87 19.93 25.85 20.94 17.06 19.49 19.93 25.45 27.74 20.15 25.81 21.06 17.17 20.03 25.50 27.79 20.44 16.88 19.93 25.79
z<-x-10 y [1] 0.80 1.27 2.22 1.32 0.90 1.18 1.84 2.41 2.97 1.25 2.07 1.41 1.14 1.66 2.59 3.51 1.53 0.81 1.26 2.30 plot(x,y) I want to be able to force the line of the model(mymodel<-lm(y~z)) to pass through the origin (zero) and the line of the model(mymodel<-lm(y~x)) to pass through 10 as an x-intercept. For the first case i have used the (y~x-1) syntax, but the linear model returned a regresssion that didn't pass trough the points (with a higher Rsq than expected). For the second case, i did not find a solution yet.. Could somone help me please? Thanks in avance Walid SADOK ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
