Organize regression output

Dear Contributors

I would like to ask some help concerning the automatization process of an analysis, that sounds hard to my knowledge.
I have a list of regression models.
I call them models=c(ra,rb,rc,rd,re,rf,rg,rh)

I can access the output of each of them using for example, for the first

ra$coefficients

and i obtain

(Intercept)       coeff1          coeff2            age                 gender
 0.62003033  0.00350807 -0.03817848 -0.01513533 -0.18668972
and I know that ra$coefficients[1] would give me the intercept of this model.

What i need to do is to collect the coefficients of each regression in models, and calculate and place in a table, the following simple summation:


ra                                              rb                                                      rc      ...

intercept                                       intercept                                       intercept
intercept+coeff1                        intercept+coeff1                        intercept+coeff1
intercept+coeff2                        intercept+coeff2                        intercept+coeff2
intercept+coeff1+coeff2         intercept+coeff1+coeff2         intercept+coeff1+coeff2


The calculations are trivial(I know how to do it in steps) but what is difficult for me is to invent a procedure that organizes the data in an efficient way.

I tried some step , starting with collecting the coefficients but i think I am going the wrong way

calcolati <- list()
for (i in c(ra,rb,rc,rd,re,rf,rg,rh))
{
  calcolati[[i]] <- i$coefficients[1]
}

Thanks for any help you can provide.

f.
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Francesca Pancotto
Web: https://sites.google.com/site/francescapancotto/ <https://sites.google.com/site/francescapancotto/>
Energie:
http://www.energie.unimore.it/ <http://www.energie.unimore.it/>
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