Are you fitting too many interaction terms (a saturated model)? Or are one of these variables categorical with a large number of parameters? (For example, almost as many parameters as valid observations?) It looks like you are including some term in the model that sucks up all the variation among the means, thus leaving no variation for the other effects.
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