still more fixes for the CRAN build.

CRAN-RELEASE

@@ -1,2 +1,2 @@
 This package was submitted to CRAN on 2019-03-13.
-Once it is accepted, delete this file and tag the release (commit a004265122).
+Once it is accepted, delete this file and tag the release (commit 061de71309).

cran-comments.md

@@ -1,7 +1,6 @@
-## Minor release 0.15.6
+## Resubmission 0.15.6
 * I have addresed remaining issues in the vignette and the test cases that were still trying write to the user's library causing failures on debian-gcc on CRAN for version 0.15.5
 * I've tested with a read-only system and user R library to simulate the errors on the debian system.
-* There is one remaining NOTE that is due to the way we load and test a package (using loadNamespace) built by DataPackageR in the vignettes.
 
 ## Test environments
 * local OS X install (x86_64-apple-darwin16.7.0), R 3.6.0  (2019-03-07 r76210)
@@ -18,14 +17,10 @@
 
 There were no ERRORs or WARNINGs 
 
-There was 1 NOTE:
-N  checking for unstated dependencies in vignettes ...
-   'library' or 'require' call not declared from: ‘mtcars20’
+There was 1 NOTE
 
-There was 1 NOTE when pandoc was absent:
-
-NOTE:
-Files ‘README.md’ or ‘NEWS.md’ cannot be checked without ‘pandoc’ being installed.
+* checking CRAN incoming feasibility ... NOTE
+Maintainer: 'Greg Finak <[email protected]>'
 
 ## Downstream dependencies
 

vignettes/usingDataPackageR.Rmd

@@ -261,8 +261,9 @@ The data set documentation will be accessible via `?cars_over_20`, and the data
 dir.create(file.path(tempdir(),"lib"))
 # Let's use the package we just created.
 install.packages(file.path(tempdir(),"mtcars20_1.0.tar.gz"), type = "source", repos = NULL, lib = file.path(tempdir(),"lib"))
-if(!"package:mtcars20"%in%search())
-  attachNamespace(loadNamespace('mtcars20',lib.loc = file.path(tempdir(),"lib"))) #use library() in your code
+lns <- loadNamespace    
+if (!"package:mtcars20"%in%search())
+  attachNamespace(lns('mtcars20',lib.loc = file.path(tempdir(),"lib"))) #use library() in your code
 data("cars_over_20") # load the data
 
 cars_over_20 # now we can use it.