model-xrf.md
In tidypredict: Run Predictions Inside the Database

returns the right output

Code
  round_print(tf)
Output
  [1] "21.43546 + (hp * -0.0048557) + (ifelse(cyl == \"4\", 1, 0) * 0.7288112) + (ifelse(cyl == \"8\", 1, 0) * -2.529771) + (ifelse(wt < 2.32, 1, 0) * 5.003848) + (ifelse(wt < 2.465, 1, 0) * ifelse(wt >= 2.32, 1, 0) * 0.2987375) + (ifelse(wt >= 2.465, 1, 0) * ifelse(cyl == \"8\", 1, 0) * ifelse(cyl != \"6\", 1, 0) * -7.154443e-05) + (ifelse(hp >= 123, 1, 0) * ifelse(hp >= 180, 1, 0) * ifelse(wt < 3.78, 1, 0) * -1.226406) + (ifelse(hp >= 123, 1, 0) * ifelse(hp >= 180, 1, 0) * ifelse(wt >= 3.78, 1, 0) * -2.743406) + (ifelse(hp < 123, 1, 0) * ifelse(wt >= 2.32, 1, 0) * ifelse(hp < 97, 1, 0) * 0.4264273) + (ifelse(hp >= 123, 1, 0) * ifelse(wt >= 5.25, 1, 0) * ifelse(hp < 230, 1, 0) * -4.491076) + (ifelse(hp >= 123, 1, 0) * ifelse(wt >= 5.25, 1, 0) * ifelse(hp >= 230, 1, 0) * 0.08606922) + (ifelse(hp < 123, 1, 0) * ifelse(hp < 91, 1, 0) * 2.53529) + (ifelse(hp < 123, 1, 0) * ifelse(hp >= 91, 1, 0) * ifelse(wt < 1.615, 1, 0) * 0.8113643) + (ifelse(hp >= 123, 1, 0) * ifelse(wt < 5.25, 1, 0) * ifelse(wt < 3.845, 1, 0) * -0.4930652) + (ifelse(wt >= 3.435, 1, 0) * ifelse(hp < 205, 1, 0) * ifelse(hp >= 175, 1, 0) * 0.9051407) + (ifelse(wt >= 3.435, 1, 0) * ifelse(hp >= 205, 1, 0) * ifelse(hp >= 230, 1, 0) * -0.7948412) + (ifelse(wt < 3.435, 1, 0) * ifelse(wt < 1.935, 1, 0) * 2.6084) + (ifelse(wt >= 3.435, 1, 0) * ifelse(hp < 205, 1, 0) * ifelse(hp < 175, 1, 0) * -2.085934)"

multinomial models are not supported

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! Multinomial xrf models are not supported.
  i Only `family = "gaussian"` and `family = "binomial"` are supported.

Code
  parse_model(model)
Condition
  Error in `parse_model()`:
  ! Multinomial xrf models are not supported.
  i Only `family = "gaussian"` and `family = "binomial"` are supported.

in-line functions in the formula are not supported

Code
  tidypredict_fit(model)
Condition
  Error in `acceptable_formula()`:
  x Functions inside the formula are not supported.
  i Functions detected: "log". Use `dplyr` transformations to prepare the data.

unsupported model terms give an informative error

Code
  tidypredict_fit(model)
Condition
  Error in `parse_model()`:
  ! Unable to map the model term "cyl4" to a column.
  i Transformations and interactions in the formula are not supported.