1 Intro 2 Load packages 3 Data 4 Minimal code for fitting a model 5 Results 6 Reproducibility 1 Intro In this post, we try to find a minimal setup for running/fitting a predictive model using the tidymodels approach. 2 Load packages library(tidyverse) # data wrangling library(tidymodels) 3 Data data("penguins", package = "modeldata") 4 Minimal code for fitting a model m1 <- linear_reg(engine = "glmnet", penalty = 1, mixture = 1) %>% fit(body_mass_g ~ …