multivariate multiple regression with tidymodels

[jkylearmstrong]

I am wondering how I can perform multivariate multiple regression (multiple outcomes with multiple features) utilizing the tidymodels framework. Is it possible?

[jkylearmstrong]

I had to do some digging to find that tidymodels does not appear to currently support multivariate multiple regression:

Can Tidymodels' XGBoost predict 2 things (multivariate) at once? Regression

I watched and followed along with many of the outstanding Tidy Tuesday examples taught by @julia to learn Tidymodels. I believe what I'm trying to do is going to be most similar to the following example that I've modified from tidymodels.org (XGBoost Regression) . 'Ridership' from the Chicago dataset was predicted from 2 columns. What if instead I want to predict Ridership and Cubs_Home , and from all columns ? Is this possible? library(tidymodels) tidymodels_prefer() data(Chicago) n <- nrow(Chicago) #split into training and testing sets Chicago_train <- Chicago[1:(n - 7), ] Chicago_test <- Chicago[(n - 6):n, ] #model specs bt_reg_spec <- boost_tree(trees = 15) %>% # This model c…

[jkylearmstrong]

I put in a request to add as a feature on https://github.com/tidymodels/tidymodels/issues/118