This is usually a fatal error. Do not interpret output if you see this. It typically occurs when one or more of the predictor variables in a model is constant or is a perfect linear combination of the other predictors. This error frequently occurs when bootstrapping a small dataset with one or more dichotomous predictors that heavily favors one category or another. Sometimes reducing the number of bootstrap samples will make the problem go away temporarily, but it will reappear at some point, as such a singularity will occur now and then just by chance during resampling. PROCESS has a routine built in that will catch some bootstrap samples that are 'invalid' and replace them, but it won't catch them all.
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