Nothing
data("alligator")
alligator_data <- process_measurements(alligator,
pos = "Vertebra")
# Compute PCOs
alligator_PCO <- svdPCO(alligator_data)
# Fit segmented regression models for 1 to 7 regions
# using PCOs 1 to 4 and a continuous model with a
# non-exhaustive search
regionresults <- calcregions(alligator_PCO,
scores = 1:4,
noregions = 7,
minvert = 3,
cont = TRUE,
exhaus = FALSE,
verbose = FALSE)
regionresults
# For each number of regions, identify best
# model based on minimizing RSS
bestresults <- modelselect(regionresults)
bestresults
# Evaluate support for each model and rank models
supp <- modelsupport(bestresults)
supp
# 5 regions best based on AICc; 6 regions based on BIC
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