Understanding Correlation Filter Logic

Hello, KNIME Support

I have a question about how to use the Correlation Filter node.

Below is a result table showing the correlation coefficient between the first and second columns when running Linear Correlation.

I have set the threshold value of the Correlation Filter to 0.7.

I understand that the logic is to compare the first and second columns one by one by the specified threshold and delete the second column if the absolute value is greater than 0.7.

When this happens, it proceeds from the first row and column1 should be deleted, but it is not.

If the above deletion logic is correct, the order of deletion should be :

1. column1 is deleted from the first row.

2. since column1 is deleted, the deletion logic for column3 and column4 is skipped.

3. eventually, only column1 is deleted because there is no absolute value above 0.7.

and only column 2,3,4 remain, right?

But the result is that column1 and column4 are left.

Is this incorrect logic? Or am I misunderstanding the mechanics of the Corrleation Filter?

Any answers would be appreciated.