lm_object: Linear Models

In matthewstrasiotto/mandrake: Bringing Reading the man Page a Little Closer to the drake Workflow.

Description

See stats::lm() for more info :)

Output Columns:

coefficients

a named vector of coefficients

residuals

The residuals, that is response minus fitted values.

fitted.values

The fitted mean values.

rank

the numeric rank of the fitted linear model.

weights

(only for weighted fits) the specified weights.

df.residual

the residual degrees of freedom.

call

the matched call.

terms

the stats::terms() object used.

contrasts

(only where relevant) the contrasts used.

xlevels

(only where relevant) a record of the levels of the factors used in fitting.

offset

the offset used (missing if none were used).

y

if requested, the response used.

x

if requested, the model matrix used.

model

if requested (the default), the model frame used.

na.action

(where relevant) information returned by stats::model.frame() on the special handling of NAs.

See Also

Other example_datasets: mtcars_dataset

matthewstrasiotto/mandrake documentation built on April 25, 2021, 8:20 p.m.