Why standardize can make the model running fast

In regression analysis, subtracting the average value of each year from the data points is a technique known as centering, and it serves several purposes: Reducing Multicollinearity, Removing Trends, Numerical Stability

In my time-varying coefficient regression , why it help my code running faster? and can solve some divergent and maxtreedepth problem