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...wanna have the same in R. Thank you... Ivan General Linear Models Procedure Tukey's Studentized Range (HSD) Test for variable: PROD NOTE: This test controls the type I experimentwise error rate, but generally has a higher type II error rate than REGWQ. Alpha= 0.05 df= 98 MSE= 12.43238 Critical Value of Studentized Range= 4.486...

A common point made in discussion of contrasts, type I, II, III SS etc is that for sensible comparisons one should use contrasts that are 'orthogonal in the row-basis of the model matrix' (to quote from http://finzi.psych.upenn.edu/R/Rhelp02/archive/111550.html) Question: How would one check, in R, that this is so for a particular fitted linear model object? Steve Ellison