I'm thinking to adopt the regression approach to run analysis of
variance. It seems that there are a lot of issues involved in terms of
the ways to implement the approach computationally, such as
reparameterization through different ways of coding in dummy variables,
model reduction through constraints, etc.. Do you happen to know any
available C or Matlab routines for this? And can you recommend some
books on this kind of computation algorithms?
Thanks,
Gang Chen
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