Abstract: We estimated the error of least square regression with data dependent hypothesis and coefficient regularization algorithms based on general kernel. When the kernel belongs to some kind of Mercer kernel, under a very mild regularity condition on the regression function, we derive a dimensional-free learning rate m-1/6.