Regress a predictor in the model on all the other predictors.

ols_prep_regress_x(data, i)

Arguments

data

A data.frame.

i

A numeric vector (indicates the predictor in the model).

Examples

model <- lm(mpg ~ disp + hp + wt, data = mtcars) data <- ols_prep_avplot_data(model) ols_prep_regress_x(data, 1)
#> [1] -2.5700299 -1.6008028 -2.4886829 0.1833269 0.4592780 -2.3721590 #> [7] -1.2656477 1.4885011 0.7591033 -0.8411432 -2.2411432 0.6307257 #> [13] 0.2384229 -1.6715326 0.0785315 1.0402079 5.4885456 5.7865290 #> [19] 1.1240053 5.8609261 -3.1015898 -3.2549189 -3.8911127 -1.2487773 #> [25] 2.5361190 -0.3204259 -0.0236311 2.6550420 -0.7024625 -1.2887756 #> [31] 2.1831584 -1.6295873