diff --git a/scripts/compile_lda_runs.R b/scripts/compile_lda_runs.R
index afb9a28..2db11cd 100644
--- a/scripts/compile_lda_runs.R
+++ b/scripts/compile_lda_runs.R
@@ -16,11 +16,11 @@ n     <- length(files)
 # Set up two data structures: "fits", a list used to store all the
 # results; and "dat", a data frame summarizing the model parameters
 # and optimization settings used to produce these fits.
-fits   <- vector("list",n)
+# fits   <- vector("list",n)
 labels <- files
 labels <- str_remove(labels,paste(outdir,"/",sep = ""))
 labels <- str_remove(labels,".rds")
-names(fits) <- labels
+# names(fits) <- labels
 dat <- data.frame(label       = labels,
                   k           = 0,
                   method      = "",
@@ -31,7 +31,7 @@ dat <- data.frame(label       = labels,
 # Load the results from the RDS files.
 for (i in 1:n) {
   out                  <- readRDS(files[i])
-  fits[[i]]            <- out$lda
+  # fits[[i]]          <- out$lda
   dat[i,"k"]           <- out$lda@k
   dat[i,"method"]      <- unlist(strsplit(labels[i],"-"))[3]
   dat[i,"extrapolate"] <- grepl("ex",labels[i],fixed = TRUE)
@@ -39,16 +39,15 @@ for (i in 1:n) {
 }
 
 # Reorder the results in "fits" and "dat".
-dat  <- transform(dat,method = factor(method,c("em","scd")))
+dat  <- transform(dat,method = factor(method,c("noinit","em","scd")))
 i    <- with(dat,order(k,extrapolate,method))
 dat  <- dat[i,]
-fits <- fits[i]
+# fits <- fits[i]
 rownames(dat) <- NULL
 
 # Convert the "k" column to a factor.
 dat <- transform(dat,k = factor(k))
 
 # Save the combined results to an .RData file.
-save(list = c("dat","fits"),
-     file = rdafile)
+save(list = "dat",file = rdafile)
 resaveRdaFiles(rdafile)