Curve Fitting in LabVIEW

Some Fitting VIs return only the coefficients for the curve that best describe the input data while other Fitting VIs return the fitted curve. Using the VIs that return only coefficients allows you to further manipulate the data. The VIs that return the fitted curve also return the coefficients and the mean squared error (MSE). MSE is a relative measure of the residuals between the expected curve values and the actual observed values. Because the input data represents a discrete system, the VIs use the following equation to calculate MSE:

where f is the sequence representing the fitted values, y is the sequence representing the observed values, and n is the number of observed sample points.

The Fitting VIs automatically set up and solve the Jacobian system and return the set of coefficients that best describes the data set.