NMRWish Built-In TCL Functions
modelXY: Non-linear least squares fitting of X/Y data pairs with monte carlo error analysis, according to a fitting function specified in TCL.

Non-Linear Least-Squares Optimization:
modelXY
Optional flags:

Flag	Argument	Default	Description
`-iseed`	`seed`	`54321`	Random Number Seed.
`-iter`	`maxIt`	`500`	Maximum Iterations.
`-maxf`	`maxEv`	`500`	Maximum Function Evaluations.
`-dig`	`nDig`	`5`	Number of Digits in Target.
`-tol`	`relTol`	`1e-6`	Relative Function Tolerance.
`-cf`	`confid`	`0.90`	Confidence Interval for Error.
`-verb`			Verbose Mode ON (Default).
`-noverb`			Verbose Mode Off.
`-silent`			Suppress Warning/Error Messages.
`-signal`			Allow interrupt via Control-C.

X/Y and Model Specification (Use -x/-y or -data)

`-x`			xList List of X Coords for Model.
`-y`			yList List of Y Coords for Model.
`-data`			specName Spectral Data for Y Coords of Model.
`-p`			pList List of Initial Values for Variables.
`-macro`			macName TCL Procedure Name for Model.

Optional User Flags:

`-a`	`aList`	`None`	List of Auxiliary Values.
`-pHi`	`hiList`	`Inf`	Upper Parameter Bound List.
`-pLo`	`loList`	`-Inf`	Lower Parameter Bound List.
`-noise`	`nList`	`0.0`	List of Noise Estimates for Y Coords.
`-yScale`	`sFactor`	`1.0`	Scale Factor for Y Coords.
`-gc`	`guessCnt`	`1`	Number of Monte Carlo Trials.
`-id`	`fitID`	`0`	An ID Number for this Analysis.
`-res`		`No`	Proc returns residual, not function.

User-Defined Variables:

`-var`			vList Variable Name/Numerical Value Pairs.
`-str`			sList String Name/Text Value Pairs.

Spectral Variables (requires -data):
quadSize X-Axis Complex Size (1 or 2).
xSize X-Axis Size.
ySize Y-Axis Size.
zSize Z-Axis Size.
aSize A-Axis Size.
dimCount Dimension Count.
fdata[FDATSIZE] Spectral Data Header Pointer.
General Variables:
id (Input) ID Number for this Analysis.
lsRes (Input) Current Least-Squares Residual.
confid (Input) Confidence Interval, 0.0 to 1.0.
reportFlag (Input) 1=Optimization is Finished.
xList[xyCount] (Input) X-Coords for Model.
dList[xyCount] (Input) Y-Coords from Original Data.
qList[xyCount] (Input) Y-Coords from Monte Carlo Data.
nList[xyCount] (Input) Corresponding Noise Values.
eList[pCount] (Input) Monte Carlo Error Estimates.
(Only When reportFlag = 1)
pList[pCount] (Input) Current Model Parameters.
(Optimal When reportFlag = 1)
aList[aCount] (Input) Auxiliary values, if any.

Frank Delaglio, Ph.D.