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| Started by | aminer <aminer@toto.net> |
|---|---|
| First post | 2014-06-04 19:17 -0700 |
| Last post | 2014-06-04 19:57 -0700 |
| Articles | 2 — 1 participant |
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Multiple linear regression 1.0 aminer <aminer@toto.net> - 2014-06-04 19:17 -0700
Re: Multiple linear regression 1.0 aminer <aminer@toto.net> - 2014-06-04 19:57 -0700
| From | aminer <aminer@toto.net> |
|---|---|
| Date | 2014-06-04 19:17 -0700 |
| Subject | Multiple linear regression 1.0 |
| Message-ID | <lmo9d0$vib$1@news.albasani.net> |
Hello, Multiple linear regression 1.0 Authors: Amine Moulay Ramdane Email: aminer@videotron.ca Description: Description: Multiple linear regression that uses SIMD SSE2 instructions and that implements the following mathematical theorem: If A is an m x n rank n matrix, then the least-squares solutions to the system A*vector(X) = vector(C) are the solutions to the system: A*vector(X) = A*inverse(transpose(A)*A))*transpose(A)*vector(C). This system has the following unique solution: vector(X) = inverse(transpose(A)*A)*transpose(A)*vector(C) I have also included a Matrix library called LinMath that uses SIMD SSE2 instructions and that is multithreaded, LinMath was derived fom mrmath Matrix library by Rabatscher Michael Matrix library and modified to become compatible with both FreePascal and Delphi. LinMath is offered under the licence agreement described on: http://www.mrsoft.org/ You can download Multiple linear regression 1.0 from: https://sites.google.com/site/aminer68/multiple-linear-regression Language: FPC Pascal v2.2.0+ / Delphi 7+: http://www.freepascal.org/ Operating Systems: Windows, Mac OSX , Linux... Required FPC switches: -O3 -Sd -Sd for delphi mode.... Required Delphi switches: -$H+ Thank you, Amine Moulay Ramdane.
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| From | aminer <aminer@toto.net> |
|---|---|
| Date | 2014-06-04 19:57 -0700 |
| Message-ID | <lmobn8$3c9$1@news.albasani.net> |
| In reply to | #2409 |
Hello, This Multiple linear regression program does show the equation that approximate the statistical data and it calculates and shows the Coefficient of determination R^2 I will enhance it more in the next version. Thank you, Amine Moulay Ramdane
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