List of 13
$ coefficients : Named num [1:4]
   2.251 0.804 1.459 1.947
$ residuals : Named num [1:150]
   0.0361 0.2379 -0.1228 -0.1424
   -0.1442 ...
$ effects : Named num [1:150]
   -71.566 -1.188 0.279 8.525 -0.114
   ...
$ rank : int 4
$ fitted.values: Named num [1:150]
   5.06 4.66 4.82 4.74 5.14 ...
$ assign : int [1:4] 0 1 2 2
$ qr :List of 5
$ df.residual : int 146
$ contrasts :List of 1
$ xlevels :List of 1
$ call : language lm(formula = frm2,
   data = iris)
$ terms :Classes 'terms', 'formula'
   language Sepal.Length ~
   Sepal.Width + Species
$ model :'data.frame': 150 obs. of 3
   variables:
- attr(*, "class")= chr "lm"