I have a regression model fit<-lm divorce~unemploy+fem+marriage+birth+military) the data set has 77 observations and 6 variables and interpretted the data.
Now, I need to fit a ridge regression to the data. How do I do that in R?
I used the lm.ridge to the data as:
> select<-(lm.ridge(divorce~unemployed + femlab + marriage +birth +military, lambda=0.1))
unemployed femlab marriage birth
2.64697627 -0.11265629 0.38208763 0.11734057 -0.12989077
how do I interpret this or do I have to calculate anything else?