diff --git a/R/local_fit.R b/R/local_fit.R
index 79a5d0d..4b411bc 100644
--- a/R/local_fit.R
+++ b/R/local_fit.R
@@ -88,13 +88,14 @@
 #'  
 #' The \code{modified} argument in the pls methods (\code{local_fit_pls()} 
 #' and \code{local_fit_wapls()}) is used to indicate if 
-#' a modified version of the pls algorithm (modified pls or mpls). The modified 
-#' pls was proposed Shenk and Westerhaus (1991, see also Westerhaus, 2014) and it 
-#' differs from the standard pls method in the way the weights of the predictors 
-#' (used to compute the matrix of scores) are obtained. While pls uses the covariance 
-#' between  response(s) and predictors (and later their deflated versions 
-#' corresponding at each pls component iteration) to obtain these weights, the modified pls 
-#' uses the correlation as weights. The authors indicate that by using correlation,
+#' a modified version of the pls algorithm (modified pls or mpls) is to be used. 
+#' The modified pls was proposed Shenk and Westerhaus 
+#' (1991, see also Westerhaus, 2014) and it differs from the standard pls method 
+#' in the way the weights of the predictors (used to compute the matrix of 
+#' scores) are obtained. While pls uses the covariance between  response(s) 
+#' and predictors (and later their deflated versions corresponding at each pls 
+#' component iteration) to obtain these weights, the modified pls uses the 
+#' correlation as weights. The authors indicate that by using correlation,
 #' a larger potion of the response variable(s) can be explained. 
 #' 
 #' @return An object of class \code{local_fit} mirroring the input arguments.
diff --git a/README.md b/README.md
index 590baf1..c7d81fb 100644
--- a/README.md
+++ b/README.md
@@ -20,7 +20,7 @@ orthogonal projections in spectral data.
 
 ## Vignette
 A new vignette for `resemble` explaining its core functionality is available 
-at: https://CRAN.R-project.org/package=prospectr/vignettes/vignette.html
+at: https://cran.r-project.org/package=resemble/vignettes/resemble.html
 
 ## Core functionality