I don't know what your data look like, but I recently ran into this error
message while using Anova() in the {car} package, and I resolved in by
replacing the categorical predictors in my model with orthogonal contrasts.
I did something along these lines:
fac <- factor(c("M","F","M","M","F")) # A categorical predictor.
contrasts(fac) # Default numerical
values used by Anova(), anova(), lm(), aov(), etc.
contrasts(fac) <- "contr.sum" # Orthogonal contrasts to apply
to "fac".
facCont <- contrasts(fac)[fac] # Assign values in new variable.
Replace "fac" with "facCont" in model.
Of course, this may have nothing to do with the reason your model was
misbehaving.
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