# When using GAMs should I standardize my predictors and/or response variable?

I have often heard people mention the importance of standardization when using PCA, but not with respect to GAMs. Is this because standardization is not important for GAMs? Should I standardize my predictors and/or response variables?

$$\|\mathbf{y - X\beta}\|^2 - \lambda\|\beta\|_1$$
Without scaling your data, that coefficient vector $\beta$ will have values all over the place. Larger elements of $\beta$ will be penalized more than smaller elements - even if the smaller element was less important to prediction.