Improve error model fitting

Now we have a three stage fitting process for
nonconstant error models:
- Unweighted least squares
- Only optimize the error model
- Optimize both

Static documentation rebuilt by pkgdown

1 files changed, 0 insertions, 1 deletions

diff --git a/R/mkinds.R b/R/mkinds.R
index 257a17c4..5333ca26 100644
--- a/R/mkinds.R
+++ b/R/mkinds.R
@@ -42,7 +42,6 @@ mkinds <- R6Class("mkinds",
   )
 )
 
-#' @export
 print.mkinds <- function(x, ...) {
   cat("<mkinds> with $title: ",  x$title, "\n")
   cat("Observed compounds $observed: ", paste(x$observed, collapse = ", "), "\n")