Creating data frame with residuals of a data frame

Dear experts,

I am trying to create a data frame from the residuals I get after
having applied a linear regression to each column of a data frame, but
I don't know how to create this data frame from the resulting list
since the list has differing numbers of rows.

So for example:
age<- c(5,6,10,14,16,NA,18)
value1<- c(30,70,40,50,NA,NA,NA)
value2<- c(2,4,1,4,4,4,4)
df<- data.frame(age, value1, value2)

#Run linear regression to adjust for age and get residuals:

lm_f <- function(x) {
x<- residuals(lm(data=df, formula= x ~ age))
}
resid <- apply(df,2,lm_f)
resid<- resid[-1]

Then resid is a list with different row numbers:

$value1
         1          2          3          4
-16.945813  22.906404  -7.684729   1.724138

$value2
          1           2           3           4           5           7
-0.37398374  1.50406504 -1.98373984  0.52845528  0.28455285  0.04065041

I am trying to get both the original variable and their residuals in
the same data frame like this:

age, value1, value2, resid_value1, resid_value2

But when I try cbind or other operations I get an error message
because they do not have the same number of rows. Can you please help
me figure out how to solve this?

Thank you.