Confidence/Prediction Interval in Recursive Least Square(RLS)0

I am trying to implement RLS based on the given algorithm:

1https://en.wikipedia.org/wiki/Recursive_least_squares_filter

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The missing piece is how to update residual mean and variance step by step for a given data point to calculate confidence and prediction interval.

Can anyone help me with it? Thank you for your time and help!