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Multivariate Regression

Linear Regression 1.00

No Image 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.






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UltimaCalc 3.0.645

multivariate). Another finds the minimum of a multi-variate expression. Others solve triangles, or find roots of polynomials up to tenth order, or solve simultaneous linear or non-linear equations. UltimaCalc includes logarithms to base 2, two-argument inverse tangent, greatest common divisor. Also floor and ceiling functions, absolute value, min, max, extract the fractional part of a number, find the value for which an expression is at its minimum

multivariate regression, standard deviation, polynomial roots, plot functions, roots of polynomials, simultaneous linear equations, algebra, navigation, nonlinear, algebraic graphing calculator, solve triangles, polynomial regression, linear regression





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UltimaCalc 4.1.941

A set of mathematical tools, for scientists, engineers and students. Perform symbolic algebra: simplify expressions, differentiate them, integrate them and see how the result was obtained. Factorise polynomials, multiply and divide them, find their GCDs. Solve linear and non-linear equations, minimise an expression. Least squares fit (5 methods). Evaluate math expressions with variables. Complex numbers. Log results. 38 digit precision.

multivariate regression, standard deviation, polynomial roots, plot functions, roots of polynomials, simultaneous linear equations, algebra, navigation, nonlinear, algebraic graphing calculator, solve triangles, polynomial regression, linear regression



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UltimaCalc Professional 3.1.805

A set of mathematical tools, for scientists, engineers and students. Perform symbolic algebra: simplify expressions, differentiate them, integrate them and see how the result was obtained. Factorise polynomials, multiply and divide them, find their GCDs. Solve linear and non-linear equations, minimise an expression. Least squares fit (5 methods). Evaluate math expressions with variables. Complex numbers. Log results. 38 digit precision.

multivariate regression, standard deviation, polynomial roots, plot functions, roots of polynomials, simultaneous linear equations, algebra, navigation, nonlinear, algebraic graphing calculator, solve triangles, polynomial regression, linear regression



ForeStock 1.1: Collection of advanced forecasting algorithms for Equis Metastock(R)
ForeStock 1.1

Collection of advanced forecasting algorithms: ARIMA with automatic best parameter set search and smart seasonal trend detection. Stepwise multivariate regression with the selection of the best regression subset. Proven backhistory. Full intraday capable. Real-time speed in model training. Ready to use professional style Expert Advisors, Indicators and System Testers. Open scripts for for writing your own trading strategies.

stock market, prediction, trading, financial forecasting



The Unscrambler 9.8: Software package for Multivariate Data Analysis and Experimental Design
The Unscrambler 9.8

multivariate analysis and experimental design software, equipped with powerful methods including Principal Component Analysis (PCA), Multivariate Curve Resolution (MCR), Partial Least Squares Regression (PLS-R), 3-Way PLS Regression, K-Means Clustering and SIMCA Classification. Extensively used across a wide range of research and industrial applications including advanced Chemometrics, Spectroscopy and cutting-edge Sensometrics, this market-leading

statistics, statistical, data analysis, operations management, design of experiments, spectroscopy, plsr, multivariate, statistical process control, chemometrics, regression analysis, multivariate curve resolution



Regression Analysis - CurveFitter 4.5.3: CurveFitter performs regression analysis to estimate values of parameters.
Regression Analysis - CurveFitter 4.5.3

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.

curve, curvefitter, function, trigonometric, regression, least squares, parsing, equation, curve fit, fitter, exponential, nonlinear, formula


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