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About

NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting. NLREG determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. NLREG can handle linear, polynomial, exponential, logistic, periodic, and general nonlinear functions. Unlike many "nonlinear" regression programs that can only handle a limited set of function forms, NLREG can handle essentially any function whose form you can specify algebraically. NLREG features a full programming language with a syntax similar to C for specifying the function that is to be fitted to the data. This allows you to compute intermediate work variables, use conditionals, and even iterate in loops. With NLREG it is easy to construct piecewise functions that change form over different domains. Since the NLREG language includes arrays, you can even use tabular look-up methods to define the function.

About

Fast and versatile, the NumPy vectorization, indexing, and broadcasting concepts are the de-facto standards of array computing today. NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more. NumPy supports a wide range of hardware and computing platforms, and plays well with distributed, GPU, and sparse array libraries. The core of NumPy is well-optimized C code. Enjoy the flexibility of Python with the speed of compiled code. NumPy’s high level syntax makes it accessible and productive for programmers from any background or experience level. NumPy brings the computational power of languages like C and Fortran to Python, a language much easier to learn and use. With this power comes simplicity: a solution in NumPy is often clear and elegant.

Platforms Supported

Windows Supported
Mac Not Supported
Linux Not Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Professionals seeking a nonlinear regression and curve fitting solution

Audience

Component Library solution for DevOps teams

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

NLREG
www.nlreg.com

Company Information

NumPy
numpy.org

Alternatives

ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski

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QMSys GUM

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XLfit

XLfit

IDBS

Categories

Categories

Statistical Analysis Features

Analytics Not Supported
Association Discovery Supported
Compliance Tracking Supported
File Management Not Supported
File Storage Supported
Forecasting Not Supported
Multivariate Analysis Not Supported
Regression Analysis Supported
Statistical Process Control Not Supported
Statistical Simulation Supported
Survival Analysis Not Supported
Time Series Not Supported
Visualization Not Supported

Integrations

3LC Not Supported
Avanzai Not Supported
Codédex Not Supported
Coiled Not Supported
Cython Not Supported
Dash Not Supported
Gensim Not Supported
JAX Not Supported
MPI for Python (mpi4py) Not Supported
NVIDIA FLARE Not Supported
PaizaCloud Not Supported
PyCharm Not Supported
Spyder Not Supported
Train in Data Not Supported
Unify AI Not Supported
Visual Studio Code Not Supported
Yamak.ai Not Supported
Yandex Data Proc Not Supported
h5py Not Supported
scikit-learn Not Supported

Integrations

3LC Supported
Avanzai Supported
Codédex Supported
Coiled Supported
Cython Supported
Dash Supported
Gensim Supported
JAX Supported
MPI for Python (mpi4py) Supported
NVIDIA FLARE Supported
PaizaCloud Supported
PyCharm Supported
Spyder Supported
Train in Data Supported
Unify AI Supported
Visual Studio Code Supported
Yamak.ai Supported
Yandex Data Proc Supported
h5py Supported
scikit-learn Supported
Claim NLREG and update features and information
Claim NLREG and update features and information
Claim NumPy and update features and information
Claim NumPy and update features and information