Orthogonal Linear Regression in 3D-space script download - Orthogonal Linear Regression in 3D-space Orthogonal Linear Regression in 3D-space - Orthog

Orthogonal Linear Regression in 3D-space - Orthogonal Linear Regression by using PCA Orthogonal Linear Regression in 3D-space by using Principal Components AnalysisThis is a wrapper function to some pieces of the code from the Statistics Toolbox demo titled "Fitting an Orthogonal Regression Using Principal Components Analysis" Input parameters:- XData: input data block -- x: axis- YData: input data block -- y: axis- ZData: input data block -- z: axis- geometry: type of approximation ('line','plane') - visualization: figure ('on','off') -- default is 'on'- sod: show orthogonal distances ('on','off') -- default is 'on'Return parameters:- Err: error of approximation - sum of orthogonal distances - N: normal vector for plane, direction vector for line- P: point on plane or line in 3D spaceExample:>> XD = [4.8 6.7 6.2 6.2 4.1 1.9 2.0]';>> YD = [13.4 9.9 5.8 6.1 6.7 10.6 11.5]';>> ZD = [13.7 13.1 11.3 11.8 12.5 16.2 18.5]';>> fit_3D_data(XD,YD,ZD,'line','on','on');>> fit_3D_data(XD,YD,ZD,'plane','on','off');Note: Written for Matlab 7.0 (R14) with Statistics Toolbox Requirements: · MATLAB Release: R14 · Statistics Toolbox

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» Orthogonal Linear » 3D-space Regression » statistics probability » Orthogonal » Linear » 3D-space

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