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% Content of \COLLECT\CALIB\NNET
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% Drawnn    - Draws the topology of a neural network. (Called in nnmodel.m)
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% Invrange  - Returns a range-scaled data set to its original scale
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% Kolmog    - Kolmogorov-Smirnov test to check if a set of observations
%             are normally distributed
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% Kolnorm   - Performs a Kolmogorov-Smirnov test for normality on replicate
%		        objects at different levels, and returns the percentage of 	
%		        objects not normally distributed at each level
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% Levmarq   - Levenberg-Marquardt algorithm for training feed-forward 
%             backpropagation neural networks . Also pruned (ie. not 
%             fully connected) networks can be trained
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% Linfit    - Construct a linear regression model to fit a calibration 
%             line and estimate lack-of-fit
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% Lmeval    - Computes the output of a backpropagation neural network
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% Nnmodel   - Backpropagation neural network with one hidden layer for 
%             multivariate calibration. (Designed to model only one 
%             response y at a time)
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% Nnpred    - Prediction of responses of new samples with a neural network model
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% Pmntanh   - Fast hyperbolic tangent function to be used in	neural networks 
%             instead of the tanh provided by MATLAB
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% Range     - Each element in the data set is scaled to a range determined
%		      by the user
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% Rangenew  - Each element in the new data set is scaled to a range determined
%             by the user on a reference set
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