Plot_Partial_RSS
Location: ..\cubatch\Model_PARAFAC\private\Plot_Partial_RSS.m

function [Axes,MO] = Plot_Partial_RSS (PlotStruct,ModelOut,MainFig);
Description:
It plots the sum of squares of the residuals vs the scalars in the mode specified in PlotStruct.nummode.
Additional selections can be made so that subsets of variables (or sample/batches) are used.
If only one sample/batch is selected and the mode is not the first, confidence limits, computed with Residuals_CL, are automatically displayed.
If 'leave one out' validation has been calculated it is asked which scores are to be used: those from the complete models or the "predicted" ones.
When the model has been applied to new data this plot automatically applies to the new data; the confidence limits are computed on the original data set.
For the axes specified by Axes the 'ModelOut' application-defined data is set, and it contains a copy of ModelOut.(employed by PARAFACDisplayInfo)

Inputs:
PlotStruct: PlotStruct structure
ModelOut: ModelOut structure for the current model
MainFig: main figure handle

Outputs:
Axes: handle of the axes where the Residuals are plot
MO: ModelOut structure with the updated statistic. Empty if no new statistic was computed.

Called by:
Model_PARAFAC\PARAFACActivatePlots
NB. The actual call is made from PARAFACPlot via feval and not from Model_PARAFAC\PARAFACActivatePlots.

Subroutines:
Internal: None
External: cenwindow, nshape, residuals_cl, selectmodel, dispinfo
NB DispInfo is set as the 'ButtonDownFcn' of the line plots when the residuals are displayed versus any mode but the first one.

Author:
Giorgio Tomasi
Royal Agricultural and Veterinary University
MLI, LMT, Chemometrics group
Rolighedsvej 30
DK-1958 Frederiksberg C
Danmark
Last modified: 15-Oct-2002 11:28:08
Contact: Giorgio Tomasi, gt@kvl.dk
References
[1] - Jackson, J.E., Mudholkar, G.S., "Control Procedures for Residuals associated with Principal Components Analysis", Technometrics, 21, (1979), 341
[2] - Nomikos P., Mac Gregor J.F., "Monitoring batch process using multiway principal component analysis", AIChE journal, Vol 40, n°8, 1994, 1361-1373