Hi John,
Thanks again. That looks like an easy and convenient approach. Regards,
Chris
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Hi John,
Thanks for your response. The anova funtion will not work in my case,
because I have multiple response variables. In other words, I would like to
conduct an extra sums-of-squares and cross-products test between the
following models:
FULL.MODEL: (Y1, Y2, Y3, Y4, Y5) as a function of
I would like to conduct an extra sum-of -squares test that compares a full
MANOVA model (with all 1st order interactions) to a reduced model (no
interactions) to determine if I can drop all interactions at the same time.
This is analagous to an extra sum-of-squares F-test in ANOVA, but instead
usi
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