File	Date	Author	Commit
ReadMe.txt	2014-01-14	cah12	[6bf576] A better re-write
RegressionLine.h	2014-01-01	cah12	[408a20] This is a first commit
doublecmp.cpp	2014-01-14	cah12	[6bf576] A better re-write
doublecmp.h	2014-01-14	cah12	[6bf576] A better re-write
main.cpp	2014-01-14	cah12	[6bf576] A better re-write
mainwindow.cpp	2014-01-14	cah12	[6bf576] A better re-write
mainwindow.h	2014-01-14	cah12	[6bf576] A better re-write
mainwindow.ui	2014-01-01	cah12	[408a20] This is a first commit
mcurveTest.h	2014-01-09	cah12	[d577b8] Removed README file
mcurvefitter.h	2014-01-14	cah12	[6bf576] A better re-write
mplotcurve.cpp	2014-01-14	cah12	[6bf576] A better re-write
mplotcurve.h	2014-01-14	cah12	[6bf576] A better re-write
mplotcurveTest.pro	2014-01-14	cah12	[6bf576] A better re-write
mplotcurveTest.pro.user	2014-01-14	cah12	[6bf576] A better re-write
polynomialfit.h	2014-01-14	cah12	[6bf576] A better re-write

Read Me

MPlotCurve is a subclass of QwtPlotCurve
When you apply a subclass of QwtCurveFitter to a QwtPlotCurve you achieve a desirable specific fitting. However, the points, in cartesian coordinates, that describe the fitted curve are not readily available. Thus, if you want to compute the area below the curve or the centroid you must do additional work. Moreover, there is no ready way to visually compare the fitted with unfitted curve. MPlotCurve is derived from QwtPlotCurve. Applications are free to subclass MPlotCurve to achieve further specialization. 
Create a project and run it. Use the items in the "Tool" menu to exercise the code. Your feedback is appreciated.