# stack loss gradient
stackloss |>
lm(formula = stack.loss ~ Air.Flow + Water.Temp + Acid.Conc.) |>
coef() |>
as.list() |> as.data.frame() |>
subset(select = c(Air.Flow, Water.Temp, Acid.Conc.)) ->
coef_data
# isolines along strongest predictors
scale(stackloss, scale = FALSE) |>
ggplot(aes(x = Water.Temp, y = Air.Flow)) +
coord_square() + geom_origin() +
geom_point(aes(size = stack.loss)) + scale_size_area() +
geom_isoline(data = coef_data)
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