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overparameterised
2004 Feb 02
0
Two apparent bugs in aov(y~ *** -1 + Error(***)), with (PR#6523)
...---
(*) In these models, we have to manually code the factorial terms into
continuous variables, in order to circumvent the coding logic in
model.matrix() (when there is no intercept term, the first factor is
coded as dummy variables, one variable per level of the factor,
which makes these models overparametrised), but that is perhaps a
different story. :-)
--=20
Bj=F8rn-Helge Mevik, dr.scient.