  We provide an extension of Feller's upper-lower class test for the
Hartman-Wintner LIL to the LIL in Euclidean space. We obtain this result as a
corollary to a general upper-lower class test for $\Gamma_n T_n$ where
$T_n=\sum_{j=1}^n Z_j$ is a sum of i.i.d. d-dimensional standard normal random
vectors and $\Gamma_n$ is a convergent sequence of symmetric non-negative
definite $(d,d)$-matrices. In the process we derive new bounds for the tail
probabilities of $d$-dimensional normally distributed random vectors.
