Create 
create an instance of TCurveFit 
Free 
free the instance 
Init 
initialize the processing machine 
EnterStatValue 
enter a pair of data 
RemoveStatValue 
remove a data pair from the pool 
DataX, DataY 
direct (readonly) access to the entered data pairs 
CalcAnovaReg 
performs the analysis of variances for linear models 
CalcCenteredPolyFit 
calculate the best fitting centered polynomial 
CalcCircleFit 
calculate the best fitting circle 
CalcExponentialFit 
calculate the best exponential fit 
CalcGaussFit 
calculate the best Gaussian fit (normal distribution) 
CalcHoerlFit 
calculate the best fitting Hoerl function 
CalcHyperbolFit 
calculate the best hyperbolic fit to the data 
CalcLinFit 
calculate the best linear fit to the data 
CalcLogFit 
calculate the best logarithmic fit 
CalcParabolFit 
calculate the best parabolic fit to the data 
CalcPolyFit 
calculate a best fitting polynomial 
CalcPowerFit 
calculate a best fitting power curve 
CalcReciHyperbolFit 
calculate the best reciprocal hyperbolic fit to the data 
CalcReciLinFit 
calculate the best reciprocal linear fit to the data 
CalcReciLogFit 
calculate the best reciprocal logarithmic fit 
CalcRegModel 
calculate a regression model 
CPXShift 
the shift along the x axis of centered polynomials 
CubicSpline 
calculates a cubic spline interpolation 
Evaluate 
evaluates the regression model at a specific x value 
FitQual 
the quality of fit of the previously calculated model 
PolyOrder 
order of the previously calculated polynomial regression 
Predict 
predict the y value at a particular x value 
Residual 
the residuals of the regression 
SmoothedSpline 
calculates a smoothed cubic spline interpolation 
SpearmanRankCorr 
calculates Spearman's rank correlation coefficient 
StdDevResid 
the standard deviation of the residuals of the regression 
In addition, TCurveFit also provides all important univariate and bivariate parameters for the entered data pairs:
