R

R

The R Foundation
+
+

Related Products

  • Pipefy
    591 Ratings
    Visit Website
  • BrandMap® 10
    Visit Website
  • RAD PDF
    3 Ratings
    Visit Website
  • Collect!
    76 Ratings
    Visit Website
  • Resco Field Service+
    4 Ratings
    Visit Website
  • Nutrient SDK
    104 Ratings
    Visit Website
  • Windsurf Editor
    161 Ratings
    Visit Website
  • SMS Storetraffic
    116 Ratings
    Visit Website
  • Regpack
    387 Ratings
    Visit Website
  • CallTrackingMetrics
    929 Ratings
    Visit Website

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

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Professionals seeking a nonlinear regression and curve fitting solution

Audience

DevOps teams in need of a statistical computing and graphics solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

NLREG
www.nlreg.com

Company Information

The R Foundation
www.r-project.org

Alternatives

ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski

Alternatives

DataMelt

DataMelt

jWork.ORG
ndCurveMaster

ndCurveMaster

SigmaLab Tomas Cepowski
Statistix

Statistix

Analytical Software
QMSys GUM

QMSys GUM

Qualisyst
DataMelt

DataMelt

jWork.ORG
XLfit

XLfit

IDBS

Categories

Categories

Statistical Analysis Features

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Integrations

Amazon SageMaker Model Building
Artelys Knitro
CZ CELLxGENE Discover
Claude Opus 4.6
Claude Sonnet 3.5
Cline
CodePal
ERNIE X1 Turbo
GPT Pilot
Gemini 2.5 Pro Preview (I/O Edition)
Grok 4.20
IBM SPSS Modeler
Lapce
Llama 4 Maverick
MLlib
Mage
Northflank
Qwen
Visplore
Zerve AI

Integrations

Amazon SageMaker Model Building
Artelys Knitro
CZ CELLxGENE Discover
Claude Opus 4.6
Claude Sonnet 3.5
Cline
CodePal
ERNIE X1 Turbo
GPT Pilot
Gemini 2.5 Pro Preview (I/O Edition)
Grok 4.20
IBM SPSS Modeler
Lapce
Llama 4 Maverick
MLlib
Mage
Northflank
Qwen
Visplore
Zerve AI
Claim NLREG and update features and information
Claim NLREG and update features and information
Claim R and update features and information
Claim R and update features and information