![](data:image/png;base64,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)
83
5 2
4 1
6 3
ADJUSTMENTS
NOTE
If only one point is moved greatly in the point conver-
gence mode, it may not move in areas smaller than the
desired adjusting area.
In this case, adjust while moving the other points
slowly.
Does not move to the set position