debug +2

Author: hlorenzo

R/mddsPLS.R

@@ -2,7 +2,7 @@
 #'
 #' This function should not be used directly by the user.
 #'
-#' @param Xs A data-frame of a matrix or a list of data-frames or matrices of \emph{n} rows each, the number of individuals. Some rows must be missing. The different matrices can have different numbers of columns. The length of Xs is denoted by \emph{K}.
+#' @param Xs A matrix, if there is only one block, or a list of matrices,, if there is more than one block, of \emph{n} rows each, the number of individuals. Some rows must be missing. The different matrices can have different numbers of columns. The length of Xs is denoted by \emph{K}.
 #' @param Y A matrix of n rows of a vector of length n detailing the response matrix. No missing values are allowed in that matrix.
 #' @param lambda A real \eqn{[0,1]} where 1 means just perfect correlations will be used and 0 no regularization is used.
 #' @param R A strictly positive integer detailing the number of components to build in the model.
@@ -273,7 +273,7 @@ MddsPLS_core <- function(Xs,Y,lambda=0,R=1,mode="reg",verbose=FALSE){
 #' must be built on. The coefficient lambda regularizes the quality of proximity to the data choosing to forget the least correlated bounds between
 #' \eqn{X} and \eqn{Y} datasets.
 #'
-#' @param Xs A data-frame of a matrix or a list of data-frames or matrices of \emph{n} rows each, the number of individuals. Some rows must be missing. The different matrices can have different numbers of columns. The length of Xs is denoted by \emph{K}.
+#' @param Xs A matrix, if there is only one block, or a list of matrices,, if there is more than one block, of \emph{n} rows each, the number of individuals. Some rows must be missing. The different matrices can have different numbers of columns. The length of Xs is denoted by \emph{K}.
 #' @param Y A matrix of \emph{n} rows of a vector of length \emph{n} detailing the response matrix. No missing values are allowed in that matrix.
 #' @param lambda A real \eqn{[0,1]} where 1 means just perfect correlations will be used and 0 no regularization is used.
 #' @param R A strictly positive integer detailing the number of components to build in the model.

R/perf_mddsPLS.R

@@ -4,10 +4,7 @@
 #' the cross-validation process is made on the given set
 #' of parameters.
 #'
-#' @param Xs A data-frame of a matrix or a list of data-frames or matrices of
-#' $n$ rows each, the number of individuals. Some rows must be missing. The
-#' different matrices can have different numbers of columns.
-#' @param Y A matrix of n rows of a vector of length n detailing the
+#' @param Xs A matrix, if there is only one block, or a list of matrices,, if there is more than one block, of \emph{n} rows each, the number of individuals. Some rows must be missing. The different matrices can have different numbers of columns. The length of Xs is denoted by \emph{K}.
 #' response matrix. No missing values are allowed in that matrix.
 #' @param lambda_min A real in \eqn{[0,1]}. The minimum value considered.
 #'  Default is \eqn{0}.