Hello, I am getting some unexpected results when using mle.stepwise: # BEGIN require(wle) x1 = runif(100) x2 = runif(100) y = 3 + 2*x1 + rnorm(100) # so x1 is in the model, but not x2 mle.stepwise(y ~ x1 + x2, type = "Backward") # Backward selection gets it right, the other two return non-sense mle.stepwise(y ~ x1 + x2) mle.stepwise(y ~ x1 + x2, type = "Stepwise") # If the variables are entered in a different order, the result changes mle.stepwise(y ~ x2 + x1) mle.stepwise(y ~ x2 + x1, type = "Stepwise") # END I am running R version 2.6.0 Patched (2007-11-09 r43408) on Mac OS X 10.4.11 and the latest version of wle 0.9-3. Any idea? Help much appreciated. I will introduce these functions in my applied statistics class on Monday! Thanks, Ery