context: In semi-related semantics, the cross product of two vectors returns a vector perpendicular to both source vectors, not a matrix.
answer_0: Really, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_1: Though, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_2: Ideally, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_3: In the end, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_4: Eventually, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_5: Overall, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_6: Still, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_7: Simultaneously technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_8: In short, technically a vector can be considered a one-dimensional matrix, so you're right in a way.
answer_9: Yet, technically a vector can be considered a one-dimensional matrix, so you're right in a way.