library(FactoMineR)
library(pathmodelr)
data(wine) #Loads the Val de Loire data into the "wine" variable
wine_data <- wine[,c(-1,-2, -31)]
inner_model_spec <- t(matrix(c(0,0,0,0,0,
1,0,0,0,0,
1,1,0,0,0,
1,1,1,0,0,
1,1,1,1,0),
nrow=5, ncol=5))
rownames(inner_model_spec) <- c("smell_at_rest", "view", "smell_after_shaking", "tasting", "global_quality")
colnames(inner_model_spec) <- rownames(inner_model_spec)
outer_model_spec <- list(1:5, 6:8, 9:18, 19:27, 28)
soplsm_model <- soplspm(wine_data, inner_model_spec, outer_model_spec)
#make second model with single LV per block:
n_LVs <- t(matrix(c(0,0,0,0,0,
1,0,0,0,0,
1,1,0,0,0,
1,1,1,0,0,
1,1,1,1,0),
nrow=5, ncol=5))
soplspm_model <- soplspm(wine_data, inner_model_spec, outer_model_spec, n_LVs=n_LVs)
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