gnu: r-kernlab: Move to (gnu packages cran).

* gnu/packages/machine-learning.scm (r-kernlab): Move from here...
* gnu/packages/cran.scm (r-kernlab): ...to here.

gnu/packages/cran.scm

@@ -12754,3 +12754,25 @@ networks, module identification and functions for relating both variables and
 modules to sample traits.  It also includes a number of utility functions for
 data manipulation and visualization.")
     (license license:gpl2+)))
+
+(define-public r-kernlab
+  (package
+    (name "r-kernlab")
+    (version "0.9-27")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (cran-uri "kernlab" version))
+       (sha256
+        (base32
+         "1m0xqf6gyvwayz7w3c83y32ayvnlz0jicj8ijk808zq9sh7dbbgn"))))
+    (build-system r-build-system)
+    (home-page "https://cran.r-project.org/web/packages/kernlab")
+    (synopsis "Kernel-based machine learning tools")
+    (description
+     "This package provides kernel-based machine learning methods for
+classification, regression, clustering, novelty detection, quantile regression
+and dimensionality reduction.  Among other methods @code{kernlab} includes
+Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes
+and a QP solver.")
+    (license license:gpl2)))

gnu/packages/machine-learning.scm

@@ -626,28 +626,6 @@ adaptive sparsity and the Wong algorithm for adaptively sparse gaussian
 geometric models.")
     (license license:lgpl3+)))
 
-(define-public r-kernlab
-  (package
-    (name "r-kernlab")
-    (version "0.9-27")
-    (source
-     (origin
-       (method url-fetch)
-       (uri (cran-uri "kernlab" version))
-       (sha256
-        (base32
-         "1m0xqf6gyvwayz7w3c83y32ayvnlz0jicj8ijk808zq9sh7dbbgn"))))
-    (build-system r-build-system)
-    (home-page "https://cran.r-project.org/web/packages/kernlab")
-    (synopsis "Kernel-based machine learning tools")
-    (description
-     "This package provides kernel-based machine learning methods for
-classification, regression, clustering, novelty detection, quantile regression
-and dimensionality reduction.  Among other methods @code{kernlab} includes
-Support Vector Machines, Spectral Clustering, Kernel PCA, Gaussian Processes
-and a QP solver.")
-    (license license:gpl2)))
-
 (define-public dlib
   (package
     (name "dlib")