# How do you interpret the results from ridge regression?

I started learning ridge regression in R. I applied the linear ridge regression to my full data set and got the following results.

gridge<-lm.ridge(divorce ~., data=divusa, lambda=seq(0,35,0.02))
select(gridge)
modified HKB estimator is 0.07693804
modified L-W estimator is 0.3088377
smallest value of GCV at 0.02 which.min(gridge\$GCV)
0.02
2

round(coef(gridge)[2,-1],3)
year   unemployed femlab marriage birth military
-0.195  -0.053    0.790    0.148 -0.118   -0.042

round(coef(g)[-1],3)
year unemployed femlab marriage birth  military
-0.203  -0.049   0.808    0.150 -0.117 -0.043


Questions:

1. How do I interpret the results?
2. Do I have to do anything else for interpretation?
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