Checks there is no residual effect in a model
Usage
lm_residual_effect(x, var = c(-1))
Arguments
- x
lm object
- var
the variables on which the residuals are to be regressed. By default use them all and cancel the explained variable
Examples
data("AirPassengers")
model <- lm(AirPassengers ~ time(AirPassengers))
lm_residual_effect(model)
#>
#> Call:
#> lm(formula = resid(x) ~ ., data = as.data.frame(x$model[, var]))
#>
#> Coefficients:
#> (Intercept) `x$model[, var]`
#> 8.013e-13 -4.096e-16
#>