diff --git a/DESCRIPTION b/DESCRIPTION
index 7d662ae..d1075ee 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -14,6 +14,7 @@ Remotes:
 Collate:
   "FLSAM.control.R"
   "FLSAM.R"
+  "FLSAM.MSE.R"
   "FLSAM.out.R"
   "FLR2SAM.R"
   "SAM2FLR.R"
diff --git a/R/FLSAM.MSE.R b/R/FLSAM.MSE.R
new file mode 100644
index 0000000..1f588af
--- /dev/null
+++ b/R/FLSAM.MSE.R
@@ -0,0 +1,74 @@
+FLSAM.MSE <-function(stcks,tun,ctrl,catch.vars=NULL,starting.sam=NULL,return.sam=F,...){
+
+  #---------------------------------------------------
+  # Output FLR objects into a format for SAM to read
+  #---------------------------------------------------
+  if(is(stcks, "FLStocks")) stop("Not implemented for multi-fleet yet")
+  if(is(stcks, "FLStock")) stcks <- FLStocks(residual=stcks)
+  if(any(unlist(lapply(stcks,function(x)dims(x)$iter))<=1) & any(unlist(lapply(tun,function(x)dims(x)$iter))<=1))
+    stop("Running in MSE mode means supplying FLStock and FLIndices with more iters than 1. Use FLSAM() instead")
+
+  #Count iters
+  iters <- unlist(lapply(stcks,function(x)dims(x)$iter))
+
+  #Turn residuals off
+  ctrl@residuals <- FALSE
+
+  #get datasets ready
+  data  <- conf <- par <- list()
+
+  require(doParallel)
+  ncores <- detectCores()-1
+  ncores <- ifelse(iters<ncores,iters,ncores)
+  cl <- makeCluster(ncores) #set up nodes
+  clusterEvalQ(cl,library(FLSAM))
+  clusterEvalQ(cl,library(stockassessment))
+  registerDoParallel(cl)
+
+
+  data <- foreach(i = 1:iters) %dopar% FLSAM2SAM(FLStocks("residual"=iter(stcks[["residual"]],i)),FLIndices(lapply(tun, function(x) iter(x,i))),ctrl@sumFleets,catch.vars)
+  conf <- foreach(i = 1:iters) %dopar% ctrl2conf(ctrl,data[[i]])
+  par  <- foreach(i = 1:iters) %dopar% defpar(data[[i]],conf[[i]])
+
+  res <- foreach(i = 1:iters) %dopar% try(sam.fit(data[[i]], 
+                                                  conf[[i]], par[[i]],
+                                                  sim.condRE = ctrl@simulate,
+                                                  newtonsteps = 0,
+                                                  silent = T))
+
+  stopCluster(cl)
+  #- Return sam objects
+  if(return.sam){
+    resSAM <- list()
+    for(i in 1:iters){
+      if(!is.na(unlist(res[[i]]$sdrep)[1])){
+        resSAM[[i]] <- SAM2FLR(res[[i]],ctrl)
+      } else {
+        resSAM[[i]] <- NA
+      }
+    }
+    resSAM <- as(resSAM,"FLSAMs")
+  }
+  
+  if(!return.sam){
+    for(i in 1:iters){
+      if(!is.na(unlist(res[[i]]$sdrep)[1])){
+        stcks[["residual"]]@stock.n[, , , , , i] <- FLQuant(t(ntable(res[[i]])), dimnames = list(age = ctrl@range["min"]:ctrl@range["max"], 
+                                                                                                 year = ctrl@range["minyear"]:ctrl@range["maxyear"], unit = "unique", 
+                                                                                                 season = "all", area = "unique", iter = 1))
+        stcks[["residual"]]@harvest[, , , , , i] <- FLQuant(t(faytable(res[[i]])), dimnames = list(age = ctrl@range["min"]:ctrl@range["max"], 
+                                                                                              year = ctrl@range["minyear"]:ctrl@range["maxyear"], 
+                                                                                              unit = "unique", season = "all", area = "unique", 
+                                                                                              iter = 1))
+      } else {
+        stcks[["residual"]]@stock.n[,,,,,i] <- NA
+        stcks[["residual"]]@harvest[,,,,,i] <- NA
+      }
+    }
+  }
+  if(return.sam)
+    ret <- resSAM
+  if(!return.sam)
+    ret <- stcks
+  return(ret)
+}
diff --git a/R/FLSAM.R b/R/FLSAM.R
index caeed5c..10d4bc9 100755
--- a/R/FLSAM.R
+++ b/R/FLSAM.R
@@ -84,83 +84,6 @@ FLSAM <-function(stcks,tun,ctrl,catch.vars=NULL,return.fit=F,starting.values=NUL
 
   return(res)
 }
-
-
-FLSAM.MSE <-function(stcks,tun,ctrl,catch.vars=NULL,starting.sam=NULL,return.sam=F,...){
-
-  #---------------------------------------------------
-  # Output FLR objects into a format for SAM to read
-  #---------------------------------------------------
-  if(is(stcks, "FLStocks")) stop("Not implemented for multi-fleet yet")
-  if(is(stcks, "FLStock")) stcks <- FLStocks(residual=stcks)
-  if(any(unlist(lapply(stcks,function(x)dims(x)$iter))<=1) & any(unlist(lapply(tun,function(x)dims(x)$iter))<=1))
-    stop("Running in MSE mode means supplying FLStock and FLIndices with more iters than 1. Use FLSAM() instead")
-
-  #Count iters
-  iters <- unlist(lapply(stcks,function(x)dims(x)$iter))
-
-  #Turn residuals off
-  ctrl@residuals <- FALSE
-
-  #get datasets ready
-  data  <- conf <- par <- list()
-
-  require(doParallel)
-  ncores <- detectCores()-1
-  ncores <- ifelse(iters<ncores,iters,ncores)
-  cl <- makeCluster(ncores) #set up nodes
-  clusterEvalQ(cl,library(FLSAM))
-  clusterEvalQ(cl,library(stockassessment))
-  registerDoParallel(cl)
-
-
-  data <- foreach(i = 1:iters) %dopar% FLSAM2SAM(FLStocks("residual"=iter(stcks[["residual"]],i)),FLIndices(lapply(tun, function(x) iter(x,i))),ctrl@sumFleets,catch.vars)
-  conf <- foreach(i = 1:iters) %dopar% ctrl2conf(ctrl,data[[i]])
-  par  <- foreach(i = 1:iters) %dopar% defpar(data[[i]],conf[[i]])
-
-  res <- foreach(i = 1:iters) %dopar% try(sam.fit(data[[i]], 
-                                                  conf[[i]], par[[i]],
-                                                  sim.condRE = ctrl@simulate,
-                                                  newtonsteps = 0,
-                                                  silent = T))
-
-  stopCluster(cl)
-  #- Return sam objects
-  if(return.sam){
-    resSAM <- list()
-    for(i in 1:iters){
-      if(!is.na(unlist(res[[i]]$sdrep)[1])){
-        resSAM[[i]] <- SAM2FLR(res[[i]],ctrl)
-      } else {
-        resSAM[[i]] <- NA
-      }
-    }
-    resSAM <- as(resSAM,"FLSAMs")
-  }
-  
-  if(!return.sam){
-    for(i in 1:iters){
-      if(!is.na(unlist(res[[i]]$sdrep)[1])){
-        stcks[["residual"]]@stock.n[, , , , , i] <- FLQuant(t(ntable(res[[i]])), dimnames = list(age = ctrl@range["min"]:ctrl@range["max"], 
-                                                                                                 year = ctrl@range["minyear"]:ctrl@range["maxyear"], unit = "unique", 
-                                                                                                 season = "all", area = "unique", iter = 1))
-        stcks[["residual"]]@harvest[, , , , , i] <- FLQuant(t(faytable(res[[i]])), dimnames = list(age = ctrl@range["min"]:ctrl@range["max"], 
-                                                                                              year = ctrl@range["minyear"]:ctrl@range["maxyear"], 
-                                                                                              unit = "unique", season = "all", area = "unique", 
-                                                                                              iter = 1))
-      } else {
-        stcks[["residual"]]@stock.n[,,,,,i] <- NA
-        stcks[["residual"]]@harvest[,,,,,i] <- NA
-      }
-    }
-  }
-  if(return.sam)
-    ret <- resSAM
-  if(!return.sam)
-    ret <- stcks
-  return(ret)
-}
-
 getLowerBounds<-function(parameters){
     list(sigmaObsParUS=rep(-10,length(parameters$sigmaObsParUS)))
 }