Nope, it's likely the data giving rise to the error.
mice() function is used for handling missing data by creating multiple imputations (replacement values) for multivariate missing data. See this from the documentation.. The error you're encountering could be due to a variety of reasons, non-numeric data in a column that was expected to be numeric, or issues with the specific imputation method being used.
In some cases, this error can be due to the model being overspecified. Overspecification occurs when a statistical model includes more parameters than can be justified by the data. This can lead to issues with multicollinearity, where one predictor variable in a multiple regression model can be linearly predicted from the others with a substantial degree of accuracy. You may need to simplify your model by removing some parameters
Also, ensure that the data is numeric where it needs to be, and that the imputation method being used is appropriate for your data.