Suppose I have a dataset in which I have very large number of features approx. 200 and about 10 million data rows. How to perform regression over such data. I know that for High Dimensional data we use Lasso or Ridge Regression and for Large number of data rows we can use biglm package of R. But how to combine both. Is Ridge regression available in biglm as well?