Class Summary 
BinaryLogisticRegression 
Implementation of Binary Logistic Regression using iterativelyreweigthed
least squares algorithm. 
CrossValidation 
Carries out the desired crossvalidation technique on the regression data 
DataMiner 
Takes in a set of dependenent and independent variables and generates a model to fit the data 
DataReducer.DataReducerInformation 
Contains information about the implementation of the DataReducer class that can be used to determine the classes abilities at runtime. 
DifferenceOfAverages 
Technically similar to a linear regressor, DifferenceOfAverages describes a
function as a line connecting two points Distances along the line a scaled
such that point 1 is considered to be the 0.0 point and point 2 the 1.0 point 
Functions 
A set of static statistical funtcions 
ICA 
Independent Component Analysis 
ImagePLS 
Implements an iterative version of PLS based on the method by Milidi and Reteria,
"DPLS and PPLS: two PLS algorithms got large data sets." Computation Statisitics and Data Analysis vol.48 pp125138 (2005) 
ImageRegressor 

Initialise 
Initialise the Stats pluggin 
Model 
Loads, processes and regresses two sets of data. 
ModelInformation 
Basic information about a statistical model 
ModelResults 
A system for querying a model to get details of it's components
As most models are linear, consisting of a either matrix multiplication, or multiplication by a vector of weights the output is a list of named vectors 
NumericRegressor 

OvercompleteSPLS 

PCAReducer 
Basically a wrapper for the PCA class of BPT 
PLSReducer 

RegressionForm 

RegressionForm_1 

sPLSSVD 
From 'A Sparse PLS for Variable Selection when Integrating Omics data' Le Cao Rossouw RobetGranie Besse 
sPLSSVD_DWH 
A version of Le Cao's algorithm modified to be sparse on the patches not on patch 
WaveletPLS 

WaveletRGBPLS 

WeightedPLS 

WeightedPLS2 
