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@@ -182,7 +182,8 @@ algorithm for the prediction of quantitative properties. First all fingerprint
features with identical values across all neighbors are removed. The reamining
set of features is used as descriptors for creating a local weighted PLS model
with atom environments as descriptors and model similarities as weights. The
-`plsr` function of the `pls` R package [@pls] is used for this purpose.
+`pls` method from the `caret` R package [@Kuhn08] is used for this purpose.
+
Finally the local PLS model is applied to predict the activity of the query
compound.
@@ -190,10 +191,14 @@ If PLS modelling or prediction fails, the program resorts to using the weighted
mean of the neighbors LOAEL values, where the contribution of each neighbor is
weighted by its similarity to the query compound.
+default settings for tuning
+
### Applicability domain
Christoph: TODO
+Prediction intervals were obtained from the `predict` function.
+
### Validation
For the comparison of experimental variability with predictive accuracies we