INFO  [2024-03-07 15:59:17] Initializing ALASCA (v1.0.15, 2024-02-07)
WARN  [2024-03-07 15:59:17] Guessing effects: `fold+fold:treatment+treatment`
INFO  [2024-03-07 15:59:17] Will use linear mixed models!
INFO  [2024-03-07 15:59:17] Will use Rfast!
WARN  [2024-03-07 15:59:17] The `fold` column is used for stratification
WARN  [2024-03-07 15:59:17] Converting `character` columns to factors
INFO  [2024-03-07 15:59:18] Scaling data with sdall ...
INFO  [2024-03-07 15:59:18] Calculating LMM coefficients
WARN  [2024-03-07 15:59:24] Keeping 20 of 80 components. Change `max_PC` if necessary.
INFO  [2024-03-07 15:59:29] ==== ALASCA has finished ====
INFO  [2024-03-07 15:59:29] To visualize the model, try `plot(<object>, effect = 1, component = 1, type = 'effect')`
INFO  [2024-03-07 15:59:29] 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 15:59:29] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-07 15:59:29] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:31] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 2.
WARN  [2024-03-07 15:59:32] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:32] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 3.
WARN  [2024-03-07 15:59:32] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:33] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 4.
WARN  [2024-03-07 15:59:33] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:34] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 5.
WARN  [2024-03-07 15:59:34] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:34] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 6.
WARN  [2024-03-07 15:59:34] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:35] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 7.
WARN  [2024-03-07 15:59:35] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:36] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 8.
WARN  [2024-03-07 15:59:36] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:37] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 9.
WARN  [2024-03-07 15:59:37] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:38] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 5.
WARN  [2024-03-07 15:59:38] Showing 20 of 11270 variables. Adjust the number with `n_limit`
INFO  [2024-03-07 15:59:38] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 5.
INFO  [2024-03-07 15:59:38] Selecting the 5 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC5). Use `variable` to specify variables to plot
INFO  [2024-03-07 16:07:48] 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 16:12:15] 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 16:13:38] 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 16:15:33] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-07 16:15:33] Showing 20 of 11270 variables. Adjust the number with `n_limit`