INFO  [2024-03-07 16:15:41] Initializing ALASCA (v1.0.15, 2024-02-07)
WARN  [2024-03-07 16:15:41] Guessing effects: `fold+fold:treatment+treatment`
INFO  [2024-03-07 16:15:41] Will use linear mixed models!
INFO  [2024-03-07 16:15:41] Will use Rfast!
WARN  [2024-03-07 16:15:41] The `fold` column is used for stratification
WARN  [2024-03-07 16:15:42] Converting `character` columns to factors
INFO  [2024-03-07 16:15:42] Scaling data with sdall ...
INFO  [2024-03-07 16:15:42] Calculating LMM coefficients
WARN  [2024-03-07 16:15:48] Keeping 20 of 80 components. Change `max_PC` if necessary.
INFO  [2024-03-07 16:15:52] ==== ALASCA has finished ====
INFO  [2024-03-07 16:15:52] To visualize the model, try `plot(<object>, effect = 1, component = 1, type = 'effect')`
INFO  [2024-03-07 16:16:00] Scree plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1 and 2 and 3 and 4 and 5 and 6 and 7 and 8 and 9 and 10.
INFO  [2024-03-07 16:16:06] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-07 16:16:06] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 16:16:16] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-07 16:16:16] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 16:16:27] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-07 16:16:27] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 16:16:36] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 2.
WARN  [2024-03-07 16:16:36] Showing 20 of 11270 variables. Adjust the number with `n_limit`