Hello,

I have done PCA on a dataset which gives me the below output:

```
> summary(pca_job)
Importance of components:
Comp.1 Comp.2 Comp.3 Comp.4 Comp.5 Comp.6
Standard deviation 35.4423752 32.1207773 29.0777646 27.4806992 24.4706949 17.57553914
Proportion of Variance 0.2619009 0.2151114 0.1762842 0.1574515 0.1248487 0.06440337
Cumulative Proportion 0.2619009 0.4770123 0.6532964 0.8107480 0.9355966 1.00000000
```

Now,how do i see what variables have been combined for each component and how to use these for further analysis in R(like how do i use these PC’s in a regression model.?)

I am sorry if these are very basic questions,but I am completely new to R.