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LOESS (or LOWESS) stands for locally weighted scatterplot smoothing. It is a form of local (k-nearest neighbor) kernel regression

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Can I use predictions from LOESS as a form of predictor transformation in logistic regression?

I am wondering if I can use the predictions from LOESS as a form of predictor transformation in logistic regression? … For example, if one of the predictors is X, then can I use predict(loess(Y~X)) as a transformation of X and use it in the logistic regression? …
simohayha's user avatar