Ordinary Differential Equations
Systems of Nonlinear Equations
Maxima and Minima
Functions and Equations
Approximation & Interpolation
Solution of Equations
Approximation of Functions
Linear Algebra Methods
This collection fits user-chosen functionals to a given set of data points in one or more independent variables, performing linear or nonlinear regressions.
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Download Linear Regression
multivariate linear regression using the LEAST SQUARES method. The program
determines the regression parameters as well as the generalized correlation
coefficient and the standard error of estimate.
If you wish to fit the data with an expression linear in both the
parameters and the variables, then this is the program you should select
from the set.
the data with an expression linear in the
parameters, nonlinear in the variables
(This is linear regression under a transform).
the data with an expression nonlinear in both the
parameters and the variables.
The regression is performed using the Least-Squares method.
These programs determine the regression parameters as well as the generalized correlation coefficient and the standard error of estimate.
Solutions produced may be filed, then retrieved and studied by programs of the FUNCTIONS AND EQUATIONS
collection to find roots, (multiple) integral, (partial) derivatives, maxima and minima.