Departures of values predicted by
autopls from the original data
space and removal of exceedingly extrapolated predictions.
liability (object, prediction) confine (object, prediction, tolerance)
object of class
predicted values as single vector or single layer raster image
maximum departure of preserved prediction values
Takes its time with large images and many objects used in calibration.
Vector or raster image depending on the type of
liability function) are given in original units.
confine, values exceeding
tolerance are replaced by
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
## load predictor and response data to the current environment data (murnau.X) data (murnau.Y) ## call autopls with the standard options model <- autopls (murnau.Y ~ murnau.X) ## new data new <- murnau.X + 500 ## prediction pred <- predict (model, new) ## check uncertainty liability (model, pred) ## remove predictions with uncertainty value > 5 confine (model, pred, 5)
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