Multivariate Regression Model


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Linear Regression  v.1.0

Performs linear regression using the Least Squares method. Determines the regression coefficients, the generalized correlation coefficient and the standard error of estimate. Does multivariate regression. Displays 2D and 3D plots.

ITALASSI  v.1.2

Despite the fact that many phenomenon in physical or social sciences involve interaction between causal factors, it seems that very few researchers using multiple regression or structural equation modeling techniques do investigate for the presence of ...





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Pirouette  v.4.0.2587

Prediction, classification, data exploration and multivariate regression methods are implemented in a single program, and now includes mixture analysis.

A simple to use yet very powerful interface facilitates interacting with raw and processed ...

Analysis Studio

An intuitive and powerful statistical analysis, regression analysis and data mining tool. Analysis Studio features a fast deep logistic regression model development and deployment, regression analysis with multi model comparison, crosstab tables with ...

Leverage  v.1.1

Dragging one of the points away from the regression line, immediately shows the effect, as the regression line is recalculated and moves according to the current data set.
Whne talking about "leverage" we most often refer to an undesirable effect ...

Time Series Analyzer  v.1.1.2

- Seasonal adjustment: Additive, multiplicative, constant seasonal model. - Additive and multiplicative decomposition. - Seasonal smoothing: Triple Holt-Winters exponential smoothing. - Curves:B-Spline, Chaikin, Catmull-Rom, Ferguson. Other features: ...

DRS  v.2011

These data will help them to solve problems of reality on contrary, which need data processing to make them become mathematicalematical model reflecting the data variation regulation. The application of the Least Square Method can only make linear regression, ...

Patlak  v.1.8.5

Options for selecting the least-squares line fit method:
-C Traditional regression model (default)
-M Median of two-point slopes and intercepts (Cornish-Bowden)
-P Perpendicular regression model (4)
-R Iterative method (York 1966, ...

ProSAT (PROtein reSidue Annotation Toolkit)  v.1.0

It can also learn a support vector regression model to predict a floating point value.ProSAT_Predict is the software to predict the annotation for each residue from the built models, and output a L x n dimension profile, outputting the score from each ...

CurveExpert Basic  v.1.40

XY data can be modelled using a toolbox of linear regression models, nonlinear regression models, interpolation, or splines. Over 30 models are built-in, but custom regression models may also be defined by the user. Full-featured graphing capability ...

Libirt  v.1.1.5

The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel.

Fantasy Baseball Draft Advisor 2012  v.1.17

*Customized Player Rankings: Our software utilizes a proven linear regression model which produces truly unique and custom results based on your league settings. Entering your league criteria can be the difference in a player like Roy Halladay being ...

Regression Analysis - CurveFitter  v.4.5.6

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 ...

Nonlinear regression - CurveFitter  v.4.5.61

CurveFitter 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 ...

Regression Analysis and Forecasting  v.3.0

The Multiple Regression Analysis and Forecasting template enables the confident identification of value drivers and forecasting business plan or scientific data. The multiple regression process utilizes commonly employed statistical measures to test ...

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