Box-Cox power transformation for Linear Models Matlab script

Publisher review:
Box-Cox power transformation for Linear Models - A utility helping finding lamda to transform y-->y^lamda to best fit multiple linear regression Helps choose a Box-Cox power transformation for a multivariate linear regression.Assume you are looking at the residuals of [b,bint,r] = regress(y,X) and it seems a transformation is in place. Use:boxcoxlm(y,X) to find the best lambda for a Box-Cox power transformation (y^lambda, or log(y) for lambda=0)The function will also plot the Maximum Log-Likelihood as a function of lambda, and a 95% confidence region for the best value of lambdaMore control can be obtained using:[LambdaHat,LambdaInterval]=boxcoxlm(y,X,PlotLogLike,LambdaValues,alpha)which allows ommiting the plot, a different region or precision, and a different alpha value for the confidence interval Requirements: · MATLAB Release: R14SP3
Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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