OnLineRes
Location: ..\cubatch\Common\OnLineRes.m

function [SPE,SPElim,Q,Qlim,Scores] = OnLineRes(Pred_Fun,Data,ModelPars,Mode,ConfLim,Limit,Cen,Scal,varargin);
Description:
Compute the Squared Prediction Error and its confidence limits (if requested), the Q statistics (i.e. the sum of squared residuals) and its confidence limits (if required) and the scores for the model associated to Pred_Fun in an on-line fashion. The "Time" mode is by default the last.
NB This function will likely undergo some simplification of the syntax as many of the input parameters are contained in the same data structure.
Inputs:
Pred_Fun: function computing the prediction for the desired model. It can be a string (for MatLab© 5.3 or superior) or a function handle (for MatLab© 6.x or superior).
Data: array of doubles with the data used to compute the statistics
ModelPars: model's parameters as required by Pred_Fun (i.e. as a structure ModelOut.model)
Mode: fill in mode method: 'Current deviation'/'zero'
ConfLim: "alpha"s for the confidence intervals (if empty or not given: 95% and 99%).
Limit: compute limits.
Cen,Scal: preprocessing parameters as contained in Model.xpreproc.
varargin: additional inputs if required by Pred_Fun

Outputs:
SPE: Squared Prediction Error. It has the same dimensions of Data
SPElim: confidence intervals for SPE
Q: Sum of Squares of the Residuals computed in an online fashion Data
Qlim: confidence intervals for Q
Scores: scores computed in an online fashion. The time mode is added as the third (i.e. the Scores is a tridimensional array where the first mode are the batches, the second hold the various factors/LV and the last is time).

Called by:
Model_nPLS1\DLims, Model_PARAFAC\DLims, Model_nPLS1\Plot_PartialRSS_Online, Model_PARAFAC\Plot_PartialRSS_Online
Subroutines:
Internal: None
External: residuals_cl, NWay\nprocess, NWay\nshapes, Pred_Fun

Author:
Giorgio Tomasi
Royal Agricultural and Veterinary University
MLI, LMT, Chemometrics group
Rolighedsvej 30
DK-1958 Frederiksberg C
Danmark
Last modified: 04-Nov-2002 08:11:30
Contact: Giorgio Tomasi, gt@kvl.dk
References
[1] - Nomikos P., Mac Gregor J.F., "Monitoring batch process using multiway principal component analysis", AIChE journal, Vol 40, n°8, 1994, 1361-1373
[2] - van Sprang E.N.M., Ramaker, H., Westerhuis, J.A., Gurden S.P., Smilde A.K., "Critical evaluation of approaches for on-line batch process monitoring", Chemical Engineering Science, Vol 57, 2002, 3979-3991