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-rw-r--r--math/R/patches/patch-doc_manual_R-defs.texi26
-rw-r--r--math/R/patches/patch-doc_manual_R-intro.texi53
2 files changed, 0 insertions, 79 deletions
diff --git a/math/R/patches/patch-doc_manual_R-defs.texi b/math/R/patches/patch-doc_manual_R-defs.texi
deleted file mode 100644
index 07670270e07..00000000000
--- a/math/R/patches/patch-doc_manual_R-defs.texi
+++ /dev/null
@@ -1,26 +0,0 @@
-$NetBSD: patch-doc_manual_R-defs.texi,v 1.1 2013/08/19 13:30:30 jperkin Exp $
-
-Texinfo 5.1 fixes.
-
---- doc/manual/R-defs.texi.orig 2013-04-03 22:05:07.000000000 +0000
-+++ doc/manual/R-defs.texi
-@@ -17,16 +17,17 @@ S
- @acronym{HTML}
- @end macro
-
--@macro eqn {t, a}
- @iftex
-+@macro eqn {t, a}
- @tex
- $\t\$%
- @end tex
- @end iftex
- @ifnottex
-+@macro eqn {t, a}
- \a\@c
--@end ifnottex
- @end macro
-+@end ifnottex
-
- @macro pkg {p}
- @strong{\p\}
diff --git a/math/R/patches/patch-doc_manual_R-intro.texi b/math/R/patches/patch-doc_manual_R-intro.texi
deleted file mode 100644
index 90a75e74cf0..00000000000
--- a/math/R/patches/patch-doc_manual_R-intro.texi
+++ /dev/null
@@ -1,53 +0,0 @@
-$NetBSD: patch-doc_manual_R-intro.texi,v 1.1 2013/08/19 13:30:30 jperkin Exp $
-
-Texinfo 5.1 fixes.
-
---- doc/manual/R-intro.texi.orig 2013-04-03 22:05:07.000000000 +0000
-+++ doc/manual/R-intro.texi
-@@ -1981,12 +1981,27 @@ is available, so we could have used @cod
- @node Matrix facilities, Forming partitioned matrices, Generalized transpose of an array, Arrays and matrices
- @section Matrix facilities
-
-+@iftex
- @macro xTx{}
-- @eqn{@strong{x}^T @strong{x}, x'x}
-+@tex
-+@strong{x}^T @strong{x}$%
-+@end tex
- @end macro
- @macro xxT{}
-- @eqn{@strong{x}@strong{x}^T, x x'}
-+@tex
-+@strong{x}@strong{x}^T$%
-+@endtex
- @end macro
-+@end iftex
-+
-+@ifnottex
-+@macro xTx{}
-+x'x
-+@end macro
-+@macro xxT{}
-+x x'
-+@end macro
-+@end ifnottex
-
- As noted above, a matrix is just an array with two subscripts. However
- it is such an important special case it needs a separate discussion.
-@@ -2106,10 +2121,12 @@ potentially unstable to compute @code{x
- The quadratic form @eqn{@strong{x^T A^{-1} x},@ @code{x %*% A^@{-1@} %*%
- x} @ } which is used in multivariate computations, should be computed by
- something like@footnote{Even better would be to form a matrix square
--root @eqn{B, B} with @eqn{A = BB^T, A = BB'} and find the squared length of the
--solution of @eqn{By = x, By = x}, perhaps using the Cholesky or
--eigendecomposition of @eqn{A, A}.} @code{x %*% solve(A,x)}, rather than
--computing the inverse of @code{A}.
-+root @eqn{B, B}
-+ with @eqn{A = BB^T, A = BB'}
-+ and find the squared length of the solution of
-+@eqn{By = x, By = x}
-+, perhaps using the Cholesky or eigendecomposition of @eqn{A, A}.
-+} @code{x %*% solve(A,x)}, rather than computing the inverse of @code{A}.
-
- @node Eigenvalues and eigenvectors, Singular value decomposition and determinants, Linear equations and inversion, Matrix facilities
- @subsection Eigenvalues and eigenvectors