Tuning of the projection pursuit regression with compositional predictor variables: Tuning of the projection pursuit regression with compositional predictor variables
Description
Tuning of the projection pursuit regression with compositional predictor variables.
A matrix with the available compositional data, but zeros are not allowed.
nfolds
The number of folds to use.
folds
If you have the list with the folds supply it here.
seed
You can specify your own seed number here or leave it NULL.
nterms
The number of terms to try in the projection pursuit regression.
type
Either "alr" or "log" corresponding to the additive log-ratio transformation
or the logarithm applied to the compositional predictor variables.
graph
If graph is TRUE (default value) a filled contour plot will appear.
Value
A list including:
runtime
The run time of the cross-validation procedure.
mse
The mean squared error of prediction for each number of terms.
opt.nterms
The number of terms with the minimum mean squared error of prediction.
performance
The minimum mean squared error of prediction.
Details
The function performs tuning of the projection pursuit regression algorithm with compositional predictor variables.
References
Friedman, J. H. and Stuetzle, W. (1981). Projection pursuit regression. Journal of the American
Statistical Association, 76, 817-823. doi: 10.2307/2287576.