Re^2: 3D Planar Multiple Linear Regression?

in reply to Re: 3D Planar Multiple Linear Regression?
in thread 3D Planar Multiple Linear Regression?

Thanks Folks!

I can't get my head round Statistics::Regression, can you simply input 3D cartesian co-ordinates and output an equation for the plane?

Does anyone have an example please?

Comment on Re^2: 3D Planar Multiple Linear Regression?

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Re^3: 3D Planar Multiple Linear Regression? by anonymized user 468275 (Curate) on May 16, 2011 at 15:35 UTC
I have to admit the documentation doesn't tell you how to do what the module claims. Statistics::LineFit, on the other hand, does have the least squares methods required to extend a line of regression analysis into 3D, provided you can cope with the required matrix iterations, see http://www.weibull.com/DOEWeb/estimating_regression_models_using_least_squares.htm One world, one people	[reply]
Re^4: 3D Planar Multiple Linear Regression? by Anonymous Monk on May 17, 2011 at 20:47 UTC
It looks promising? But can this be done with 3D cartesian co-ordinates? If so which method outputs the equation of the plane?	[reply]
Re^5: 3D Planar Multiple Linear Regression? by anonymized user 468275 (Curate) on May 19, 2011 at 12:09 UTC
You use the regress() method for each least squares fit required by the algoritm. In essence, given three lines of regression from each plane in the model, you treat those as equations and use a matrix approach to solving them as simultaneous equations to produce the resulting plane (PM supersearch for "zentara" and "solving matrices" for a more detailed explanation of that sub-algorithm) - there isn't a method that does the whole algorithm for you. One world, one people	[reply]

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