diff --git a/Project.toml b/Project.toml
index 6d73afe..f2e6cac 100644
--- a/Project.toml
+++ b/Project.toml
@@ -1,7 +1,7 @@
 name = "TransformVariables"
 uuid = "84d833dd-6860-57f9-a1a7-6da5db126cff"
 authors = ["Tamas K. Papp <tkpapp@gmail.com>"]
-version = "0.8.10"
+version = "0.8.11"
 
 [deps]
 ArgCheck = "dce04be8-c92d-5529-be00-80e4d2c0e197"
diff --git a/src/aggregation.jl b/src/aggregation.jl
index 2cef90e..1fc6bf4 100644
--- a/src/aggregation.jl
+++ b/src/aggregation.jl
@@ -391,14 +391,18 @@ end
 
 function inverse_eltype(tt::TransformTuple{<:NamedTuple}, y::NamedTuple)
     @unpack transformations = tt
-    @argcheck keys(transformations) == keys(y)
-    _inverse_eltype_tuple(values(transformations), values(y))
+    @argcheck _same_set_of_names(transformations, y)
+    _inverse_eltype_tuple(values(transformations), values(NamedTuple{keys(transformations)}(y)))
 end
 
 function inverse_at!(x::AbstractVector, index, tt::TransformTuple{<:NamedTuple}, y::NamedTuple)
     @unpack transformations = tt
-    @argcheck keys(transformations) == keys(y)
-    _inverse!_tuple(x, index, values(transformations), values(y))
+    @argcheck _same_set_of_names(transformations, y)
+    _inverse!_tuple(x, index, values(transformations), values(NamedTuple{keys(transformations)}(y)))
+end
+
+function _same_set_of_names(x::NamedTuple, y::NamedTuple)
+    return length(x) == length(y) && Base.structdiff(x, y) === (;)
 end
 
 function _domain_label(t::TransformTuple, index::Int)
diff --git a/test/runtests.jl b/test/runtests.jl
index 56e8edb..631623e 100644
--- a/test/runtests.jl
+++ b/test/runtests.jl
@@ -316,6 +316,16 @@ end
     @test x ≈ x′
 end
 
+@testset "different order and superset of NamedTuple" begin
+    # test for #100
+    t = as((a = asℝ, b = asℝ))
+    @test @inferred(inverse(t, (a = 1.0, b = 2.0))) == [1.0, 2.0]
+    @test @inferred(inverse(t, (b = 2.0, a = 1.0))) == [1.0, 2.0]
+    @test_throws ArgumentError inverse(t, (; a = 1.0))
+    @test_throws ArgumentError inverse(t, (a = 1.0, b = 2.0, c = 3.0))
+    @test_throws ArgumentError inverse(t, (a = 1.0, c = 2.0))
+end
+
 ####
 #### log density correctness checks
 ####