Independent Component Regression
method = 'icr'
Type: Regression
Tuning Parameters: n.comp (#Components)
Neural Networks with Feature Extraction
method = 'pcaNNet'
Type: Classification, Regression
Tuning Parameters: size (#Hidden Units), decay (Weight Decay)
Partial Least Squares
method = 'kernelpls'
Type: Regression, Classification
Tuning Parameters: ncomp (#Components)
Partial Least Squares
method = 'pls'
Type: Regression, Classification
Tuning Parameters: ncomp (#Components)
Partial Least Squares
method = 'simpls'
Type: Regression, Classification
Tuning Parameters: ncomp (#Components)
Partial Least Squares
method = 'widekernelpls'
Type: Regression, Classification
Tuning Parameters: ncomp (#Components)
Principal Component Analysis
method = 'pcr'
Type: Regression
Tuning Parameters: ncomp (#Components)
Projection Pursuit Regression
method = 'ppr'
Type: Regression
Tuning Parameters: nterms (# Terms)
Sparse Partial Least Squares
method = 'spls'
Type: Regression, Classification
Tuning Parameters: K (#Components), eta (Threshold), kappa (Kappa)
Supervised Principal Component Analysis
method = 'superpc'
Type: Regression
Tuning Parameters: threshold (Threshold), n.components (#Components)