How to creat a function to use RLS to train a linear kernel on a dataset

I have trouble about how to create a function, using regularized least square to train a linear classifier on the trainng set (kernel matrix k(x,x')=x * x'), also need to choose lambda with cross validation.

There are a great many packages in R that do that. Do you have anything more specific about what you want?

hi, but I am asked to create a function myself. I have trouble about how to choose the regularized parameter lambda using the cv method.

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