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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
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Do Principal Component Analysis regression eliminate noise in the data set?
I am comparing the perfomance of PCA regression (i.e. regression where original regressors are replaced by few their pr. components) to that of regression with the original regressors in which I added … My question:
Is it really possible to denoise independent variables with PCA-regression?
If so, how should I proceed? …
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Goodness of fit (r squared) for circular data
I have started to work with regression models for angular data. In particular with the package circular in R. …
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It is correct to use r squared instead of r for correlation of 2 variables?
I have seen many reports and software in which the coefficient of determination $R^2$ is used instead of $r$ when describing the correlation of two variables before doing linear regression. … In my opinion $R^2$ should only be used to evaluate the goodness of fit after linear regression. …