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ndCurveMaster for macOS 2.0 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster offers an overfitting detection option.

ndCurveMaster 2.0 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster offers an overfitting detection option.

ndCurveMaster 1.3 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for mac OS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for macOS 1.2.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster 1.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.

ndCurveMaster for macOS 1.2 in TCScienceSof

ndCurveMaster was designed to find optimum equations to describe empirical data using a regression method. ndCurveMaster is the first and only program to find the ideal equation to allows the auto fitting of an unlimited number of input variables, for example: y= a0 + a1*x1^(-11) + a2*x3 + a3*x5^3 + a4*[ln(x8)]^3 + a5*[exp(x1*x4)]^(-2) + a6*x1*x8^2 + a7*ln(x2*x6) + a8*x2*x3*x4. ndCurveMaster uses heuristic techniques for curve fitting.


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