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The read-only two-dimensional array property ModelPar returns the model parameters of the previously calculated regression model. Depending on the type of regression model the ModelPar array contains different parameters.
The parameter ix may take the values 1 and 2: for ix=1 the actual model parameter, for ix=2 the corresponding p value of this parameter is returned. Please note that the p values are only calculated for polynomials and centered polynomials, for all other models the p values are set to -1 in order to indicate that they are not available.
Following is the list of parameters of the various regression models:
| RegModel Parameter |
Regression Function |
Details |
Availability of p Values |
| rmLinear |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no (alternative: polynomial fit with order 1) |
| rmParabolic |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
k2... ModelPar[1,2]
|
no (alternative: polynomial fit with order 2) |
| rmGaussian |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
k2... ModelPar[1,2]
|
no |
| rmReciLin |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmHyperbolic |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmReciHyperbolic |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmLog |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmReciLog |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmPower |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmExpo |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmHoerl |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
|
no |
| rmCircle |
 |
dx ... ModelPar[1,0]
dy ... ModelPar[1,1]
r ... ModelPar[1,2]
|
no |
| rmPolynomial |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
...
kn... ModelPar[1,n]
n ... PolyOrder
|
yes:
p0 = ModelPar[2,0]
...
pn = ModelPar[2,n]
|
| rmCenteredPoly |
 |
k0... ModelPar[1,0]
k1... ModelPar[1,1]
...
kn... ModelPar[1,n]
d ... CPXShift
n ... PolyOrder
|
yes:
p0 = ModelPar[2,0]
...
pn = ModelPar[2,n]
|
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