There are multiple reasons for applying standardisation/mean centre for predictors before putting them into a regression model. However, in the literature, some people do not do so or even argue against this idea. They say that it is not necessary to do standardisation/mean centre. Actually what are their reasons? I heard that standardisation/mean centre changes the interpretation of main effect, but not the interaction effect. Is it true? Are there any drawbacks to standardisation/mean centre before applying the predictors into a regression model?
The links below are some previous discussions on the benefits of standardisation/mean centre. But in order to be as critical as possible, I'd like to know the backside of standardisation/mean centre.