[R] Efficient algorithm to get a solution path for ridge regression?

[Kenneth Lo]

With the use of the LARS algorithm, a path of solutions corresponding  
to a sequence of the regularization parameter can be obtained for  
LASSO (or even the elastic net, a hybrid between LASSO and ridge) at  
the cost of one linear regression. In terms of computational speed  
LASSO seems to have beaten ridge regression, the solution of which  
needs to be computed individually, at the cost of one linear  
regression, for each regularization parameter. Is there any efficient  
method to compute a path of solutions for ridge regression  
corresponding to a sequence of the regularization parameter? Thanks.

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