enpls
Ensemble Partial Least Squares Regression
An algorithmic framework for measuring feature importance, outlier detection, model applicability domain evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
6.1.1 |
rolling linux/jammy R-4.5 | enpls_6.1.1.tar.gz |
1.7 MiB |
6.1.1 |
rolling linux/noble R-4.5 | enpls_6.1.1.tar.gz |
1.7 MiB |
6.1.1 |
rolling source/ R- | enpls_6.1.1.tar.gz |
1.5 MiB |
6.1.1 |
latest linux/jammy R-4.5 | enpls_6.1.1.tar.gz |
1.7 MiB |
6.1.1 |
latest linux/noble R-4.5 | enpls_6.1.1.tar.gz |
1.7 MiB |
6.1.1 |
latest source/ R- | enpls_6.1.1.tar.gz |
1.5 MiB |
6.1.1 |
2026-04-26 source/ R- | enpls_6.1.1.tar.gz |
1.5 MiB |
6.1.1 |
2026-04-23 source/ R- | enpls_6.1.1.tar.gz |
1.5 MiB |
6.1.1 |
2026-04-09 windows/windows R-4.5 | enpls_6.1.1.zip |
1.7 MiB |
6.1 |
2025-04-20 source/ R- | enpls_6.1.tar.gz |
2.2 MiB |