diff --git a/R/get_loglikelihood.R b/R/get_loglikelihood.R
index 9678bdeb5..1494f2a74 100644
--- a/R/get_loglikelihood.R
+++ b/R/get_loglikelihood.R
@@ -31,7 +31,7 @@
 #' model is multiplied by the Jacobian/derivative of the transformation.
 #' @param ... Passed down to `logLik()`, if possible.
 #' @param weights Optional numeric vector of weights. Must be of the same length
-#' as lengths of model obversations.
+#' as lengths of model observations.
 #' @inheritParams get_residuals
 #'
 #' @return `get_loglikelihood()` returns an object of class `"logLik"`, also
diff --git a/man/get_loglikelihood.Rd b/man/get_loglikelihood.Rd
index 3d1cacdd5..e36937681 100644
--- a/man/get_loglikelihood.Rd
+++ b/man/get_loglikelihood.Rd
@@ -28,7 +28,7 @@ get_loglikelihood_adjustment(x, weights = NULL)
 \item{...}{Passed down to \code{logLik()}, if possible.}
 
 \item{weights}{Optional numeric vector of weights. Must be of the same length
-as lengths of model obversations.}
+as lengths of model observations.}
 
 \item{estimator}{Corresponds to the different estimators for the standard
 deviation of the errors. If \code{estimator="ML"} (default), the scaling is