#First get cross validation score:
test_lasso_cv=cv.lars(A,B)
# Find the best one
bestfraction = test_lasso_cv$index[which.min(test_lasso_cv$cv)]
#Find Coefficients
coef.lasso = predict(test_lasso,A),s=bestfraction,type="coefficient",mode="fraction")