I am new in data analysis and trying to identify and delete outliers from original data when doing T-squares analysis.

I have 150 data in a vector(150 rows and 1 col) which have 10 outliers

I would like to remove the outliers from these data in order to prepare that

for ANN learning,

So, I analyze this data by T-squares method and plot of this method show outliers in the normalized data obviously,

but I would like to have a way to mathematically delete these detected outliers from original data (not normalized data)

any suggestion or ideas to aid me in doing that is greatly appreciated.

Thanks in advance for your help.

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