Mixed effects models typically involve two main components: fixed effects and random effects. Fixed effects are the systematic influences that apply to all observations, such as temperature, pressure, or catalyst concentration. Random effects, on the other hand, account for random variations that may differ between groups or experimental runs. For example, different batches of a catalyst might exhibit slightly different activities due to manufacturing variability.
