Setting reference levels in partial least squares
main topic
When you include a categorical predictor in your model, Minitab assigns
one categorical level as the reference level. Minitab designates the reference
level based on the data type.
For 1, 0 coding:
· For
numeric categorical predictors, the reference level is the level with
the least numeric value.
· For
date/time categorical predictors, the reference level is the level with
the earliest date/time.
· For
text categorical predictors, the reference level is the level that is
first in alphabetical order. If you defined a value order for a text categorical
predictor, this rule does not apply. Minitab designates the first value
in the defined order as the reference. See Ordering
Text Categories.
For -1, 0, 1 coding:
· For
numeric categorical predictors, the reference level is the level with
the largest numeric value.
· For
date/time categorical predictors, the reference level is the level with
the latest date/time.
· For
text categorical predictors, the reference level is the level that is
last in alphabetical order.
You can change the default reference level in the Options
subdialog box when you use 1, 0 coding. To change the reference level
for a categorical predictor, specify the variable followed by the new
reference level in the Reference level box. You can specify reference
levels for more than one categorical predictor at the same time. If the
levels are text or date/time, enclose them in quotes.