Use the Fitting PtByPt VIs to fit data to a model and perform interpolation and extrapolation.

The VIs on this palette can return point by point error codes.

Linear Fit PtByPt VI
Finds the line values and the coefficients slope and intercept, using the least-squares solution, that describe the line that best represents the set of input data points specified by sample length.
Linear Fit Coefficients PtByPt VI
Finds the coefficients slope and intercept, using the least-squares solution, which describe the line that best represents the set of input data points.
Exponential Fit PtByPt VI
Finds the exponential curve values and the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the input set of data points defined by sample length.
Exponential Fit Coefficients PtByPt VI
Finds the exponential coefficients amplitude and damping, using the least-squares solution, which describe the exponential curve that best represents the set of input data points specified by sample length.
General Polynomial Fit PtByPt VI
Finds the polynomial curve values and the set of Polynomial Fit Coefficients which describe the polynomial curve that best represents the set of input data points specified by sample length.
General LS Linear Fit PtByPt VI
Finds the Best Fit k-dimensional plane and the set of linear coefficients for the set of input data points specified by sample length.

Parent topic: Point By Point

LabVIEW Programming Reference Manual