non-scalar

the non-scalar property requires careful consideration in this context.

we need to account for the non-scalar nature of the data when analyzing trends.

the non-scalar variable presented a challenge for the statistical model.

understanding non-scalar features is crucial for accurate predictions.

the non-scalar attribute significantly impacted the algorithm's performance.

we explored various methods to handle the non-scalar data effectively.

the non-scalar characteristic distinguishes it from scalar quantities.

the model's sensitivity to the non-scalar input was a key finding.

the non-scalar values introduced complexity into the calculations.

we designed a new feature to capture the non-scalar information.

the non-scalar data required a different analytical approach.