Introduction

Please select an option from the pull-down menu above.

Text data editor

Cut-and-paste text or edit data here

Convert commas to spaces (1,2,0,3 yields 1 2 0 3) Use comma as decimal separator (1,203 = 1.203) Remove commas from text (1,2,0,3 yields 1203)

Standard Unweighted Fitting: no weights required Weighted Fitting: each data point requires a weight

This data is provided as an example, cut and paste as needed to model your data. All lines of text that do not begin with a number are ignored. Weighted fitting requires an additional number to be used as a weight when fitting. The site does not calculate any weights, which are used as: error = weight * (predicted - actual) You must provide any weights you wish to use. X Y Z 3.017 2.175 0.320 2.822 2.624 0.629 2.632 2.839 0.950 2.287 3.030 1.574 2.207 3.057 1.725 2.048 3.098 2.035 1.963 3.115 2.204 1.784 3.144 2.570 1.712 3.153 2.721 2.972 2.106 0.313 2.719 2.542 0.643 2.495 2.721 0.956 2.070 2.878 1.597 1.969 2.899 1.758 1.768 2.929 2.088 1.677 2.939 2.240 1.479 2.957 2.583 1.387 2.963 2.744 2.843 1.984 0.315 2.485 2.320 0.639 2.163 2.444 0.954 1.687 2.525 1.459 1.408 2.547 1.775 1.279 2.554 1.927 1.016 2.564 2.243 0.742 2.568 2.581 0.607 2.571 2.753

Fitting Target

Here you can select the desired fitting target.

Lowest sum of squared absolute error Lowest sum of squared orthogonal distance Lowest sum of squared relative error Lowest sum of absolute value of absolute error Lowest sum of absolute value of relative error Lowest peak absolute value of absolute error Lowest peak absolute value of relative error Lowest Akaike Information Criterion Lowest Bayesian Information Criterion

Data labels for graphs

Here you can enter the X, Y and Z data labels to be printed on the report graphs.

Label for first independent data (X)

Label for second independent data (Y)

Label for dependent data (Z)

Graph scaling and lin/log control

Here you can choose the scaling of the data
plots, the 3D scatterplots and the VRML files.
Log plots require data values greater than zero.

X Scale		Y Scale		Z Scale
Autoscale +/- 1% Autoscale +/- 2.5% Autoscale +/- 5% Autoscale +/- 10% Autoscale +/- 25% Autoscale +/- 50% Autoscale +/- 100% Autoscale +/- 150% Autoscale +/- 200% Manual Scale Max X: Min X:   Linear Scaling Logarithmic Scaling		Autoscale +/- 1% Autoscale +/- 2.5% Autoscale +/- 5% Autoscale +/- 10% Autoscale +/- 25% Autoscale +/- 50% Autoscale +/- 100% Autoscale +/- 150% Autoscale +/- 200% Manual Scale Max Y: Min Y:   Linear Scaling Logarithmic Scaling		Autoscale +/- 1% Autoscale +/- 2.5% Autoscale +/- 5% Autoscale +/- 10% Autoscale +/- 25% Autoscale +/- 50% Autoscale +/- 100% Autoscale +/- 150% Autoscale +/- 200% Manual Scale Max Z: Min Z:   Linear Scaling Logarithmic Scaling

Graph size

Here you can choose the size of the report graphs. Smaller size files load quickly,
with less resolution while large files show more resolution but load more slowly.

320 x 240 (fastest) 500 x 400 640 x 480 700 x 500 800 x 600 900 x 700 1024 x 768 1280 x 1024 1600 x 1200 (slowest)

Scientific Notation

Here you can control scientific notation on the data plots, the
3D surfaces, the contour plots, and the VRML model files.

X Control		Y Control		Z Control
On Off Auto		On Off Auto		On Off Auto

Hold Coefficients Constant

Here you can enter values to hold coefficients constant during fitting.
Leave the entry field blank to let the coefficient fit normally.

Note that coefficient bounds are overridden by holding a coefficient constant.


z = a * tan(bx + c) + d * tan(fy + g) + Offset

a
b
c
d
f
g
Offset

Estimated Initial Coefficients

Here you can enter values for intial parameter estimates.

Few users will need this section, as the site estimates intial
parameters using the Differential Evolution genetic algorithm
for both nonlinear equations and non-Gaussian fitting targets.

z = a * tan(bx + c) + d * tan(fy + g) + Offset

a
b
c
d
f
g
Offset

Coefficients Bounds

Here you can enter coefficient upper and lower bounds. Leave the
entry fields blank to let the coefficients fit without bounds.

Note that holding a coefficient constant overrides these bounds.


z = a * tan(bx + c) + d * tan(fy + g) + Offset

	Upper     Bound	Lower     Bound
a
b
c
d
f
g
Offset

3D rotation angles

Here you can select and rotate the 3D scatter and surface plots.

0153045607590105120135150165180195210225240255270285300315330345 Rotation view angle in degrees 051015202530354045505560657075808590 Vertical view angle in degrees

VRML Options

Here you can set various characteristics of the VRML 2.0 files.

0 percent10 percent20 percent30 percent40 percent50 percent60 percent70 percent80 percent90 percent100 percent	Surface Plot - Model Surface Opacity
On     Off	Surface Plots - Vertical Lines Connecting Surface and Data Points
On     Off	Surface Plots - Display Data Points
On     Off	Scatter and Surface Plots - Bounding Cube
0 percent10 percent20 percent30 percent40 percent50 percent60 percent70 percent80 percent90 percent100 percent	Absolute Error Plot - Absolute Error Zero Plane Opacity
On     Off	Absolute Error Plot - Vertical Lines Connecting Zero Plane and Absolute Error Points
On     Off	Absolute Error Plot - Display Absolute Error Points
On     Off	Absolute Error Plot - Bounding Cube
0 percent10 percent20 percent30 percent40 percent50 percent60 percent70 percent80 percent90 percent100 percent	Relative Error Plot - Relative Error Zero Plane Opacity
On     Off	Relative Error Plot - Vertical Lines Connecting Zero Plane and Relative Error Points
On     Off	Relative Error Plot - Display Relative Error Points
On     Off	Relative Error Plot - Bounding Cube
0 percent10 percent20 percent30 percent40 percent50 percent60 percent70 percent80 percent90 percent100 percent	Percent Error Plot - Percent Error Zero Plane Opacity
On     Off	Percent Error Plot - Vertical Lines Connecting Zero Plane and Percent Error Points
On     Off	Percent Error Plot - Display Percent Error Points
On     Off	Percent Error Plot - Bounding Cube