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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