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...that original dataset doesn't have noise, collinearity to address, no major outliers so that I have to transform the data using techniques like Box-Cox and looking at VIF to eliminate highly correlated predictors. https://www.kaggle.com/datasets/joaofilipemarques/google-advanced-data-analytics-waze-user-data When I fit the original dataset into regression model with Minitab, I get attached result for residuals. It doesn't look normal. Does it mean there is high correlation or the dataset in have nonlinear response and predictors? How should I approach this? What would be my strategy if I...

I apologize if the list has received this message twice, the first time I wrote it I neglected to subscribe, but never saw it come up in the archives. I have improved encoder_example.c so that it can read both PCM and YUV data from MPlayer via named pipes. Previously it was necessary to write at least one of these decompressed streams to disk as the fifo buffers would fill otherwize.