Forgive me if this is a trivial question, but I couldn't find it an answer in former forums. I'm trying to reproduce some SAS results where they set two parameters equal. For example:
y = b1X1 + b2X2 + b1X3 Notice that the variables X1 and X3 both have the same slope and the intercept has been removed. How do I get an estimate of this regression model? I know how to remove the intercept ("-1" somewhere after the tilde). But how about setting parameters equal? I have used the car package to set up linear hypotheses: X1 = rnorm(20, 10, 5); X2 = rnorm(20, 10, 5); X3 = rnorm(20, 10, 5) Y = .5*X1 + 3*X2 + .5*X3 + rnorm(20, 0, 15) data.set = data.frame(cbind(X1, X2, X3, Y)) linMod = lm(Y~X1 + X2 + X3, data=data.set) require(car) linearHypothesis(linMod, c("(Intercept)=0", "X1-X3=0")) (forgive the unconventional use of the equal sign....old habit). Unfortunately, the linearHypothesis is always compared to a full model (where the parameters are freely estimated). I want to have an ANOVA summary table for the reduced model. Any ideas? Thanks in advance for the help! -- Dustin Fife PhD Student Quantitative Psychology University of Oklahoma [[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.