final CRAN re-submition (1.0 -> 1.1) changes in DESCRIPTION

CVarE/DESCRIPTION

@@ -12,10 +12,11 @@ Authors@R: c(
   person("Lukas", "Fertl", role = c("aut", "cph")),
   person("Efstathia", "Bura", role = "ctb")
   )
-Description: Implementation of the Conditional Variance Estimation (CVE) method
-  from Fertl and Bura (2021) <arXiv:2102.08782> and the Ensemble Conditional
-  Variance Estimation (ECVE) method from Fertl and Bura (2021) <arXiv:2102.13435>.
-  CVE and ECVE are Sufficient Dimension Reduction (SDR) methods
+Description: Implementation of the CVE (Conditional Variance Estimation) method
+  proposed by Fertl, L. and Bura, E. (2021) <arXiv:2102.08782> and the ECVE
+  (Ensemble Conditional Variance Estimation) method introduced in
+  Fertl, L. and Bura, E. (2021) <arXiv:2102.13435>.
+  CVE and ECVE are sufficient dimension reduction methods
   in regressions with continuous response and predictors. CVE applies to general
   additive error regression models while ECVE generalizes to non-additive error
   regression models. They operate under the assumption that the predictors can