NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated.

The Unscrambler® helps you discover patterns and relationships in your data that traditional statistical methods and visual inspection cannot reveal. The Unscrambler`s Multivariate Curve Resolution (MCR), Derivatives, Principal Components Analysis (PCA), PLSR Analysis, and Experimental Design capabilities are unparalleled. Readers of Scientific Computing cited it as one of the Top Five products in terms of ease of use and visualization.

Analyse-It for Excel: General Statistics brings statistical analysis to Microsoft Excel 95, 97, 2000 and XP, with 14 parametric and 17 nonparametric procedures for descriptive statistics, testing normality, comparing groups, correlation, and regression. Analyse-It loads with Excel, analyses data straight from your worksheets, and presents the results in Excel as publication-quality reports, complete with charts, that are ready to print or save. S

This program quickly and conveniently will allow You to work with a collection of Your VB projects. With the help of the given program you easily can organize access to most frequently projects used by You. And also, it is possible quickly to see properties of any project not opening it in the development environment.

Download a complete methodology for managing projects. It helps you to deliver projects on time and under budget. It includes all of the templates, processes, charts and practical examples needed to manage projects.

DataFit is a tool used to perform nonlinear regression (curve fitting), statistical analysis & data plotting. Fit equations with up to 100 parameters to data with up to 20 independent variables. Define your own equations or choose from over 600 pre-defined equations. Results include customizable 2D/3D plots, as well as detailed fit information. Export code in BASIC or C to use an equation in a user written program. Easy to learn and use.

CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. The regression analysis determines the values of the parameters that cause the function to best fit the observed data that you provide. This process is also called curve fitting.

Tired of constantly re-writing the same CSS code? Frustrated with searching through old projects to copy and paste code from? CSS Briefcase is a great little program that helps you organize your CSS styles and store them for use in future projects. Just add CSS style code you tend to use in several projects, and from there on adding the code into new projects is as easy as selecting the styles you want and clicking a button.

The b4Time calculates time spent at the computer and draw up reports on programs and documents that had to work during the day. With similar reports for the day, week or month, it is easily to optimize own time. Another appointment of b4Time is aid in "time sharing" - effective distribution of working time among several projects.

AdventNet QEngine is an Automated Testing Tool for Functional Testing,Performance Testing,Load Testing,Stress Testing,Web Services Testing,Server Performance Monitoring & Regression Testing to run tests from command line for all test types. QEngine runs in both Windows/Linux platforms. Allows record/playback in MSIE, Firefox and Mozilla browsers.

The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.

The Multiple Regression Analysis and Forecasting model provides a solid basis for identifying value drivers and forecasting business plan data. While it utilises a range of commonly employed statistical measures to test the validity of the analysis, results are summarized in text for ease of use. Once relationships have been identified, forecasting can be accomplished based on a range of available methodologies.