v1.45.0

Changes

• A numeric variable in x with more than ten values, most of them distinct, now stops with ContinuousFactor, a plain message pointing to covariate. As a factor it cost one parameter per value; three such variables crossed could exhaust memory and kill a Jupyter kernel without explanation.
• interaction = 'all' and an order such as 2 now cross the covariates too; before, covariates stayed additive without a word. Analyses with covariates and one of these settings fit a different model from this version on. 'auto', the default, still leaves covariates additive.