Hi... i have two classes with 50 vectors each and i need to classify a new vector to one of them...

can somebody give me the simple steps that Least squares method uses....

for example for the k-NN algorithm you need to

1) calculate the Eucleidian distances between the vector you want to classify and the vectors of the two classes

2) take the k shortest distances and classify the new vector depending from witch class the shortest distances came from...

thanks in advance

search "Least squares" in the matlab help.