List of 13
$ coefficients : Named num [1:4]
   2.251 0.804 1.459 1.947
..- attr(*, "names")= chr [1:4]
   "(Intercept)" "Sepal.Width"
   "Speciesversicolor"
   "Speciesvirginica"
$ residuals : Named num [1:150]
   0.0361 0.2379 -0.1228 -0.1424
   -0.1442 ...
..- attr(*, "names")= chr [1:150]
   "1" "2" "3" "4" ...
$ effects : Named num [1:150]
   -71.566 -1.188 0.279 8.525 -0.114
   ...
..- attr(*, "names")= chr [1:150]
   "(Intercept)" "Sepal.Width"
   "Speciesversicolor"
   "Speciesvirginica" ...
$ rank : int 4
$ fitted.values: Named num [1:150]
   5.06 4.66 4.82 4.74 5.14 ...
..- attr(*, "names")= chr [1:150]
   "1" "2" "3" "4" ...
$ assign : int [1:4] 0 1 2 2
$ qr :List of 5
..$ qr : num [1:150, 1:4] -12.2474
   0.0816 0.0816 0.0816 0.0816 ...
.. ..- attr(*, "dimnames")=List of 2
.. .. ..$ : chr [1:150] "1" "2" "3"
   "4" ...
.. .. ..$ : chr [1:4] "(Intercept)"
   "Sepal.Width" "Speciesversicolor"
   "Speciesvirginica"
.. ..- attr(*, "assign")= int [1:4]
   0 1 2 2
.. ..- attr(*, "contrasts")=List of
   1
.. .. ..$ Species: chr
   "contr.treatment"
..$ qraux: num [1:4] 1.08 1.02 1.05
   1.11
..$ pivot: int [1:4] 1 2 3 4
..$ tol : num 1e-07
..$ rank : int 4
..- attr(*, "class")= chr "qr"
$ df.residual : int 146
$ contrasts :List of 1
..$ Species: chr "contr.treatment"
$ xlevels :List of 1
..$ Species: chr [1:3] "setosa"
   "versicolor" "virginica"
$ call : language lm(formula = frm2,
   data = iris)
$ terms :Classes 'terms', 'formula'
   language Sepal.Length ~
   Sepal.Width + Species
.. ..- attr(*, "variables")=
   language list(Sepal.Length,
   Sepal.Width, Species)
.. ..- attr(*, "factors")= int [1:3,
   1:2] 0 1 0 0 0 1
.. .. ..- attr(*, "dimnames")=List
   of 2
.. .. .. ..$ : chr [1:3]
   "Sepal.Length" "Sepal.Width"
   "Species"
.. .. .. ..$ : chr [1:2]
   "Sepal.Width" "Species"
.. ..- attr(*, "term.labels")= chr
   [1:2] "Sepal.Width" "Species"
.. ..- attr(*, "order")= int [1:2] 1
   1
.. ..- attr(*, "intercept")= int 1
.. ..- attr(*, "response")= int 1
.. ..- attr(*,
   ".Environment")=<environment:
   R_GlobalEnv>
.. ..- attr(*, "predvars")= language
   list(Sepal.Length, Sepal.Width,
   Species)
.. ..- attr(*, "dataClasses")= Named
   chr [1:3] "numeric" "numeric"
   "factor"
.. .. ..- attr(*, "names")= chr
   [1:3] "Sepal.Length"
   "Sepal.Width" "Species"
$ model :'data.frame': 150 obs. of 3
   variables:
..$ Sepal.Length: num [1:150] 5.1
   4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9
   ...
..$ Sepal.Width : num [1:150] 3.5 3
   3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1
   ...
..$ Species : Factor w/ 3 levels
   "setosa","versicolor",..: 1 1 1 1
   1 1 1 1 1 1 ...
..- attr(*, "terms")=Classes
   'terms', 'formula' language
   Sepal.Length ~ Sepal.Width +
   Species
.. .. ..- attr(*, "variables")=
   language list(Sepal.Length,
   Sepal.Width, Species)
.. .. ..- attr(*, "factors")= int
   [1:3, 1:2] 0 1 0 0 0 1
.. .. .. ..- attr(*,
   "dimnames")=List of 2
.. .. .. .. ..$ : chr [1:3]
   "Sepal.Length" "Sepal.Width"
   "Species"
.. .. .. .. ..$ : chr [1:2]
   "Sepal.Width" "Species"
.. .. ..- attr(*, "term.labels")=
   chr [1:2] "Sepal.Width" "Species"
.. .. ..- attr(*, "order")= int
   [1:2] 1 1
.. .. ..- attr(*, "intercept")= int
   1
.. .. ..- attr(*, "response")= int 1
.. .. ..- attr(*,
   ".Environment")=<environment:
   R_GlobalEnv>
.. .. ..- attr(*, "predvars")=
   language list(Sepal.Length,
   Sepal.Width, Species)
.. .. ..- attr(*, "dataClasses")=
   Named chr [1:3] "numeric"
   "numeric" "factor"
.. .. .. ..- attr(*, "names")= chr
   [1:3] "Sepal.Length"
   "Sepal.Width" "Species"
- attr(*, "class")= chr "lm"