INFO  [2024-03-09 21:50:11] Initializing ALASCA (v1.0.15, 2024-02-07)
WARN  [2024-03-09 21:50:11] Guessing effects: `fold+fold:treatment+treatment`
INFO  [2024-03-09 21:50:11] Will use linear mixed models!
INFO  [2024-03-09 21:50:11] Will use Rfast!
WARN  [2024-03-09 21:50:11] Converting IDs to integer values
WARN  [2024-03-09 21:50:11] The `fold` column is used for stratification
WARN  [2024-03-09 21:50:11] Converting `character` columns to factors
INFO  [2024-03-09 21:50:11] Scaling data with sdall ...
INFO  [2024-03-09 21:50:11] Calculating LMM coefficients
INFO  [2024-03-09 21:50:11] Reducing the number of dimensions with PCA
INFO  [2024-03-09 21:50:13] Keeping 36 components from initial PCA, explaining 95.31 % of variation. The limit can be changed with `reduce_dimensions.limit`
INFO  [2024-03-09 21:50:13] -> Finished the reduction of dimensions!
WARN  [2024-03-09 21:50:13] Keeping 20 of 36 components. Change `max_PC` if necessary.
INFO  [2024-03-09 21:50:14] Starting validation: bootstrap
INFO  [2024-03-09 21:50:14] - Run 1 of 100
INFO  [2024-03-09 21:50:18] --- Used 4.63 seconds. Est. time remaining: 462.58 seconds
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INFO  [2024-03-09 21:51:12] - Run 16 of 100
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INFO  [2024-03-09 21:56:37] Calculating percentiles for score and loading
INFO  [2024-03-09 21:57:03] ==== ALASCA has finished ====
INFO  [2024-03-09 21:57:03] To visualize the model, try `plot(<object>, effect = 1, component = 1, type = 'effect')`
INFO  [2024-03-09 21:57:03] 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  [2024-03-09 21:57:03] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
WARN  [2024-03-09 21:57:03] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:04] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 2.
WARN  [2024-03-09 21:57:04] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:05] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 3.
WARN  [2024-03-09 21:57:05] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:05] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 4.
WARN  [2024-03-09 21:57:06] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:06] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 5.
WARN  [2024-03-09 21:57:06] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:07] Effect plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 6.
WARN  [2024-03-09 21:57:07] Showing 20 of 12641 variables. Adjust the number with `n_limit`
INFO  [2024-03-09 21:57:08] Scores for effect number 1 and principal component(s) 6
INFO  [2024-03-09 21:57:08] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 1.
INFO  [2024-03-09 21:57:08] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC1). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:10] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 2.
INFO  [2024-03-09 21:57:10] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC2). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:12] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 3.
INFO  [2024-03-09 21:57:12] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC3). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:13] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 4.
INFO  [2024-03-09 21:57:13] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC4). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:15] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 5.
INFO  [2024-03-09 21:57:15] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC5). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:16] Prediction plot. Selected effect (nr 1): `fold+fold:treatment+treatment`. Component: 6.
INFO  [2024-03-09 21:57:16] Selecting the 10 variables with highest/lowest loading on `fold+fold:treatment+treatment` (PC6). Use `variable` to specify variables to plot
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 5
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 6
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 1
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 2
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 3
INFO  [2024-03-09 21:57:18] Loadings for effect number 1 and principal component(s) 4