u/Ekon12

So I had submitted my neuropsych paper to a journal and just got reviews back. Now, I have run regression analyses, with 3 predictor variables and one outcome variable. For one of the groups the sample size is 27. The reviewer commented that I should indicate regarding model overfit concerns that may impact the interpretability of the findings, as a commonly accepted predictor to variable ratio is 1:10. Mine falls just short of that. How do I adequately address this? Do I just say "interpret cautiously" or do i use something like Ridge or Lasso regression? I am not too sure about the use case of these regularisation methods so any advice would be greatly appreciated