r - 理解岭回归

Question

我开始在 R 中学习岭回归。我应用了线性岭回归并得到了以下结果。我如何解释结果？

> 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 
    -0.195        -0.053             0.790      0.148     -0.118 
  military 
    -0.042 

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

问题：

1. 我如何解释结果？
2. 我还需要做任何其他的解释吗？

Answer 1

ridge <- lm.ridge (LKyes~ ., lambda = "automatic", data=ml)


Error in svd(X) : infinite or missing values in 'x'