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Whether you're using C#, Visual Basic (VB.NET), F#, IronPython, the Extreme Optimization Numerical Libraries
for .NET make it easy to include regression functionality in your .NET applications.
The Extreme Optimization Numerical Libraries for .NET are a complete math,
vector/matrix and statistics package
for the Microsoft .NET framework. The statistics functionality extends to probability distributions,
random number generation, hypothesis testing, time series analysis, and multivariate models.
Many types of regression are supported, including:
- Simple linear, multi-linear and polynomial regression.
- Logistic regression.
- Nonlinear regression.
- Poisson regression.
- Logit and probit regression.
- Generalized linear models.
In addition, you can take advantage of the following:
- Remove outliers and impose other filter conditions.
- Create indicator or dummy variables from categorical data.
- Assign weights to observations.
- Compute significance tests and confidence intervals for parameters.
- Run validation tests.
The classes that implement the regression functionality live in the
The main classes are:
Represents a model where the dependent variable is a linear function of the independent variable.
Represents a model where the dependent variable is a linear combination of multiple independent variables.
Represents a model where the dependent variable is a polynomial of the independent variable.
Represents a model that predicts the probability of two or more outcomes occurring.
Represents a model where the relationship between the dependent variable and the independent variables is nonlinear.
Represents a generalization of a regression model where the dependent variable is related to
the independent variables through a
and the variance of each observation is dependent on the predicted value.
Logistic, Poisson and probit regression are specific examples.
The Curve Fitting section of the
Mathematics Library User's Guide explains their use in detail.
Regression Sample Application
With only a few lines of code, you can include advanced regression functions in your applications. This sample shows you how.
For more information, click on the image to the right. This sample is also part of our trial version.
Regression QuickStart Samples
Our library comes with a large number of QuickStart samples that help you
to get started in minutes. The following samples illustrate how to use
the curve fitting functionality:
If you would like to evaluate the Extreme Optimization Numerical Libraries for .NET,
you can download a free, fully functional 60-day trial version.
In addition to the code samples discussed here, it includes about 70 other samples
as well as complete documentation for the entire library.
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