Selecting the suboptimal model with number of predictors 1-13...
Step 2: Select the optimal model from the suboptimal models
(criterion aicc specified)
Comparing the suboptimal models containing different set of predictors:
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K | AICc AIC BIC MBIC R-squared
----+------------------------------------------------------------
1 | . 25.6262 22.9220 18.4182 0.9670
2 | . . . . 1.0000
3 | . . . . 1.0000
4 | . . . . 1.0000
5 | . . . . 1.0000
6 | . . . . 1.0000
7 | . . . . 1.0000
8 | . . . . 1.0000
9 | . . . . 1.0000
10 | . . . . 1.0000
11 | . . . . 1.0000
12 | . . . . 1.0000
13 | . . . . 1.0000
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Among models with 1-13 predictors, the optimal model contains 1 predictor with AICc = ..
Note: scope is automatically changed to 1-13 for expanding selection.