Provided are an automatic analysis method, an automatic analysis apparatus, and a program for the automatic analysis apparatus capable of discriminating a number of components included in a sample more accurately and easily. Components are discriminated based on respective pieces of resolution spectral data obtained by multivariate curve resolution (MCR) using a provisional number of components k, and the number of components included in the sample is determined based on a discriminated result. At this time, the multivariate curve resolution is repeated (steps S103 to S108) until a border value between the provisional number of components k in a case where the components are discriminated as being different in all the pieces of the resolution spectral data obtained by the multivariate curve resolution and the provisional number of components k in a case where the components are discriminated as being matched in at least two pieces of the resolution spectral data in all the pieces of the resolution spectral data obtained by the multivariate curve resolution is obtained. As a result, the number of components included in the sample can be discriminated more accurately and easily based on the obtained border value (step S113).
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